Home Loan credit risk prediction: DataPreparation and Modeling
Group 5: Mihai Mehedint, Shourya Badam, Karthikeya Vayuputra Chittuluri, Surya Pavan Malireddy
August 1, 2018
Including all the libraries
if(!require(missForest)) install.packages("missForest",repos = "http://cran.us.r-project.org")
if(!require(VIM)) install.packages("VIM",repos = "http://cran.us.r-project.org")
if(!require(mice)) install.packages("mice",repos = "http://cran.us.r-project.org")
if(!require(corrplot)) install.packages("corrplot",repos = "http://cran.us.r-project.org")## Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
## logical.return = TRUE, : there is no package called 'corrplot'##
## The downloaded binary packages are in
## /var/folders/lx/31h6x36s3cb1ms11hn3mmzc80000gq/T//RtmpbzcDhH/downloaded_packageslibrary(missForest)
library(VIM)
library(ggplot2)
library(plyr)
library(e1071)
library(mice)
library(corrplot)
library(tidyr)
library(scales)Loading the datasets
loan.data <- read.csv(file="application_train.csv", header=TRUE, sep=",")
loan.data.all <- read.csv(file="application_train_all.csv", header=TRUE, sep=",")
ccard <- read.csv(file="credit_card_balance.csv", header = TRUE, sep=",")
attach(loan.data)
attach(loan.data.all)## The following objects are masked from loan.data:
##
## AMT_CREDIT, AMT_INCOME_TOTAL, CNT_CHILDREN, CODE_GENDER,
## DAYS_BIRTH, DAYS_EMPLOYED, FLAG_EMP_PHONE, FLAG_MOBIL,
## FLAG_OWN_CAR, FLAG_OWN_REALTY, NAME_CONTRACT_TYPE,
## NAME_EDUCATION_TYPE, NAME_FAMILY_STATUS, NAME_HOUSING_TYPE,
## NAME_INCOME_TYPE, OCCUPATION_TYPE, SK_ID_CURR, TARGETattach(ccard)## The following object is masked from loan.data.all:
##
## SK_ID_CURR## The following object is masked from loan.data:
##
## SK_ID_CURRsummary(loan.data)## SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER
## Min. :100002 Min. :0.00000 Cash loans :278232 F :202448
## 1st Qu.:189146 1st Qu.:0.00000 Revolving loans: 29279 M :105059
## Median :278202 Median :0.00000 XNA: 4
## Mean :278180 Mean :0.08073
## 3rd Qu.:367142 3rd Qu.:0.00000
## Max. :456255 Max. :1.00000
##
## FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL
## N:202924 N: 94199 Min. : 0.000 Min. : 25650
## Y:104587 Y:213312 1st Qu.: 0.000 1st Qu.: 112500
## Median : 0.000 Median : 147150
## Mean : 0.418 Mean : 168798
## 3rd Qu.: 1.000 3rd Qu.: 202500
## Max. :19.000 Max. :117000000
## NA's :687
## AMT_CREDIT NAME_INCOME_TYPE
## Min. : 45000 Working :158774
## 1st Qu.: 270000 Commercial associate: 71617
## Median : 513531 Pensioner : 55362
## Mean : 599026 State servant : 21703
## 3rd Qu.: 808650 Unemployed : 22
## Max. :4050000 Student : 18
## (Other) : 15
## NAME_EDUCATION_TYPE NAME_FAMILY_STATUS
## Academic degree : 164 Civil marriage : 29775
## Higher education : 74863 Married :196432
## Incomplete higher : 10277 Separated : 19770
## Lower secondary : 3816 Single / not married: 45444
## Secondary / secondary special:218391 Unknown : 2
## Widow : 16088
##
## NAME_HOUSING_TYPE DAYS_BIRTH DAYS_EMPLOYED
## Co-op apartment : 1122 Min. :-25229 Min. :-17912
## House / apartment :272868 1st Qu.:-19682 1st Qu.: -2760
## Municipal apartment: 11183 Median :-15750 Median : -1213
## Office apartment : 2617 Mean :-16037 Mean : 63815
## Rented apartment : 4881 3rd Qu.:-12413 3rd Qu.: -289
## With parents : 14840 Max. : -7489 Max. :365243
##
## FLAG_MOBIL FLAG_EMP_PHONE OCCUPATION_TYPE
## Min. :0 Min. :0.0000 :96391
## 1st Qu.:1 1st Qu.:1.0000 Laborers :55186
## Median :1 Median :1.0000 Sales staff:32102
## Mean :1 Mean :0.8199 Core staff :27570
## 3rd Qu.:1 3rd Qu.:1.0000 Managers :21371
## Max. :1 Max. :1.0000 Drivers :18603
## (Other) :56288source("outlierscript.R")Missing Values
sapply(loan.data, function(x) sum(is.na(x)))## SK_ID_CURR TARGET NAME_CONTRACT_TYPE
## 0 0 0
## CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY
## 0 0 0
## CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT
## 687 0 0
## NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS
## 0 0 0
## NAME_HOUSING_TYPE DAYS_BIRTH DAYS_EMPLOYED
## 0 0 0
## FLAG_MOBIL FLAG_EMP_PHONE OCCUPATION_TYPE
## 0 0 0missing<- loan.data[!complete.cases(loan.data),]; head(missing)## SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR
## 12 100015 0 Cash loans F N
## 13 100016 0 Cash loans F N
## 15 100018 0 Cash loans F N
## 16 100019 0 Cash loans M Y
## 17 100020 0 Cash loans M N
## 19 100022 0 Revolving loans F N
## FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT
## 12 Y NA 38419.15 148365.0
## 13 Y NA 67500.00 80865.0
## 15 Y NA 189000.00 773680.5
## 16 Y NA 157500.00 299772.0
## 17 N NA 108000.00 509602.5
## 19 Y NA 112500.00 157500.0
## NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS
## 12 Pensioner Secondary / secondary special Married
## 13 Working Secondary / secondary special Married
## 15 Working Secondary / secondary special Married
## 16 Working Secondary / secondary special Single / not married
## 17 Working Secondary / secondary special Married
## 19 Working Secondary / secondary special Widow
## NAME_HOUSING_TYPE DAYS_BIRTH DAYS_EMPLOYED FLAG_MOBIL FLAG_EMP_PHONE
## 12 House / apartment -20417 365243 1 0
## 13 House / apartment -13439 -2717 1 1
## 15 House / apartment -14583 -203 1 1
## 16 Rented apartment -8728 -1157 1 1
## 17 House / apartment -12931 -1317 1 1
## 19 House / apartment -17718 -7804 1 1
## OCCUPATION_TYPE
## 12
## 13 Laborers
## 15 Laborers
## 16 Laborers
## 17 Drivers
## 19 Laborers#complete.cases(loan.data) != is.na(loan.data)
sum(table(which(loan.data == ''))) #find how many missing values are there## [1] 96391sum(sapply(loan.data, function(x) sum(is.na(x))))## [1] 687#Using mice
mice_plot <- aggr(loan.data, col=c('navyblue','yellow'),
numbers=TRUE, sortVars=TRUE,
labels=names(loan.data), cex.axis=.7,
gap=3, ylab=c("Missing data","Pattern"))
##
## Variables sorted by number of missings:
## Variable Count
## CNT_CHILDREN 0.002234066
## SK_ID_CURR 0.000000000
## TARGET 0.000000000
## NAME_CONTRACT_TYPE 0.000000000
## CODE_GENDER 0.000000000
## FLAG_OWN_CAR 0.000000000
## FLAG_OWN_REALTY 0.000000000
## AMT_INCOME_TOTAL 0.000000000
## AMT_CREDIT 0.000000000
## NAME_INCOME_TYPE 0.000000000
## NAME_EDUCATION_TYPE 0.000000000
## NAME_FAMILY_STATUS 0.000000000
## NAME_HOUSING_TYPE 0.000000000
## DAYS_BIRTH 0.000000000
## DAYS_EMPLOYED 0.000000000
## FLAG_MOBIL 0.000000000
## FLAG_EMP_PHONE 0.000000000
## OCCUPATION_TYPE 0.000000000Box plot
amt_income <- loan.data$AMT_INCOME_TOTAL
amt_credit <- loan.data$AMT_CREDIT
hist(amt_income) #histogram
hist(amt_credit)
boxplot(loan.data$AMT_INCOME_TOTAL,data=loan.data, main="Income Data",
xlab="Income", ylab="Income")
boxplot(loan.data$AMT_CREDIT,data=loan.data, main="Credit Data",
xlab="Credit", ylab="Credit")
#display amt credit
bp <- ggplot(loan.data, aes(x=AMT_CREDIT, y=AMT_INCOME_TOTAL, group=loan.data$CNT_CHILDREN)) +
geom_boxplot(fill="red", alpha=0.2) +
xlab("AMT CREDIT")+ylab("AMT INCOME")
bp <- bp + scale_x_continuous(trans='log2') +
scale_y_continuous(trans='log2')
bp
ggplot(loan.data, aes(x = as.factor(loan.data$CNT_CHILDREN), fill = CNT_CHILDREN==1, color=loan.data$AMT_INCOME_TOTAL)) +
geom_density(alpha = .3)## Warning: Groups with fewer than two data points have been dropped.
ggplot(loan.data[loan.data$AMT_INCOME_TOTAL<100000,], aes(x = AMT_INCOME_TOTAL/10000, fill = as.factor(CNT_CHILDREN))) +
geom_density(alpha = .3)## Warning: Groups with fewer than two data points have been dropped.
ggplot(loan.data, aes(x = as.factor(loan.data$CNT_CHILDREN), fill = AMT_CREDIT)) +
geom_density(alpha = .3)## Warning: Groups with fewer than two data points have been dropped.
ggplot(loan.data, aes(x = as.factor(loan.data$CNT_CHILDREN), fill = AMT_CREDIT)) +
geom_density(alpha = .3)## Warning: Groups with fewer than two data points have been dropped.
#display amt income
#using CNT Children since it has discrete integer values to deal with continuous values and separate the groups
bp <- ggplot(loan.data, aes(x="", y=AMT_CREDIT, group=loan.data$CNT_CHILDREN)) +
geom_boxplot(fill="blue", alpha=0.2) +
xlab("CNT CHILDREN")+ylab("AMT CREDIT")
bp <- bp + scale_y_continuous(trans='log2')
bp
par(mar=c(1,1,1,1))
outlierKD(loan.data, AMT_INCOME_TOTAL) ## Warning in n * h: NAs produced by integer overflow
## Outliers identified: 14035 nPropotion (%) of outliers: 4.8 nMean of the outliers: 472707.8 nMean without removing outliers: 168797.9 nMean if we remove outliers: 154263.9 nDo you want to remove outliers and to replace with NA? [yes/no]:
## Nothing changed noutlierKD(loan.data, AMT_CREDIT)
## Outliers identified: 6562 nPropotion (%) of outliers: 2.2 nMean of the outliers: 1931210 nMean without removing outliers: 599026 nMean if we remove outliers: 569978.6 nDo you want to remove outliers and to replace with NA? [yes/no]:
## Nothing changed nFlag variables
flag variables for the NAME_FAMILY_STATUS categorical attribute
loan.data$NAME_FAMILY_STATUS <- loan.data$NAME_FAMILY_STATUS > 0## Warning in Ops.factor(loan.data$NAME_FAMILY_STATUS, 0): '>' not meaningful
## for factors#loan.data$NAME_FAMILY_STATUS
loan.data$flag_s_not_m <- 0
loan.data$flag_m <- 0
loan.data$flag_c_m <- 0
loan.data$flag_w <- 0
loan.data$flag_s <- 0
#flag family status
loan.data$flag_s_not_m[loan.data$NAME_FAMILY_STATUS == 'Single / not married'] <- 1
#check field
#loan.data$flag_s_not_m
#continue for all other fields
loan.data$flag_m[loan.data$NAME_FAMILY_STATUS == 'Married'] <- 1
#check field
#loan.data$flag_m
loan.data$flag_c_m[loan.data$NAME_FAMILY_STATUS == 'Civil Marriage'] <- 1
#check field
#loan.data$flag_c_m
loan.data$flag_w[loan.data$NAME_FAMILY_STATUS == 'Widow'] <- 1
#check field
#loan.data$flag_w
loan.data$flag_s[loan.data$NAME_FAMILY_STATUS == 'Separated'] <- 1
#check field
#loan.data$flag_s
count(loan.data, 'flag_s_not_m')## flag_s_not_m freq
## 1 0 307511count(loan.data, 'flag_m')## flag_m freq
## 1 0 307511count(loan.data, 'flag_c_m')## flag_c_m freq
## 1 0 307511count(loan.data, 'flag_w')## flag_w freq
## 1 0 307511count(loan.data, 'flag_s')## flag_s freq
## 1 0 307511Z-Score Standardization
loan.data$zscore.income <- (loan.data$AMT_INCOME_TOTAL - mean(loan.data$AMT_INCOME_TOTAL))/sd(loan.data$AMT_INCOME_TOTAL)
#loan.data$zscore.income
loan.data$zscore.credit <- (loan.data$AMT_CREDIT - mean(loan.data$AMT_CREDIT))/sd(loan.data$AMT_CREDIT)
#loan.data$zscore.credit
income_skew <- (3*(mean(loan.data$AMT_INCOME_TOTAL)-median(loan.data$AMT_INCOME_TOTAL))) / sd(loan.data$AMT_INCOME_TOTAL)
income_skew## [1] 0.273882credit_skew <- (3*(mean(loan.data$AMT_CREDIT)-median(loan.data$AMT_CREDIT))) / sd(loan.data$AMT_CREDIT)
credit_skew## [1] 0.6372444skewincome = loan.data$zscore.income
skewa = skewness(skewincome) #skewness fc.
skewa## [1] 391.5558skewcredit = loan.data$zscore.credit
skewa = skewness(skewcredit) #skewness fc
skewa## [1] 1.234766#Outliers using the Z-Score values
outlierKD(loan.data, zscore.income)
## Outliers identified: 14035 nPropotion (%) of outliers: 4.8 nMean of the outliers: 1.28 nMean without removing outliers: 0 nMean if we remove outliers: -0.06 nDo you want to remove outliers and to replace with NA? [yes/no]:
## Nothing changed nloan.data$zscore.credit <- (loan.data$AMT_CREDIT - mean(loan.data$AMT_CREDIT))/sd(loan.data$AMT_CREDIT)
#loan.data$zscore.credit
skewcredit = loan.data$zscore.credit
skewa = skewness(skewcredit) #skewness fc
skewa## [1] 1.234766amt_credit_sd <- sd(loan.data$AMT_CREDIT)
amt_credit_mean <- mean(loan.data$AMT_CREDIT)
amt_credit_sd## [1] 402490.8amt_credit_mean## [1] 599026zscore.amt_credit <- (loan.data$AMT_CREDIT - amt_credit_mean) / amt_credit_sd
#Analyze AMT_CREDIT for Outliers using the Z-Score values
outlierKD(loan.data, zscore.credit) 
## Outliers identified: 6562 nPropotion (%) of outliers: 2.2 nMean of the outliers: 3.31 nMean without removing outliers: 0 nMean if we remove outliers: -0.07 nDo you want to remove outliers and to replace with NA? [yes/no]:
## Nothing changed n#Remove outliers from AMT CREDIT
clean.data <- loan.data[! (zscore.amt_credit > 3) ,]
# and use invert square, we get normal distribution
invert_sq_amt_credit = 1 / sqrt(clean.data$AMT_CREDIT)
qqnorm(invert_sq_amt_credit,
datax = TRUE,
col = "red",
ylim = c(0.0007441199, 0.004714045),
main = "Normal Q-Q Plot of Cleaned Inverted amount credit")
qqline(invert_sq_amt_credit,
col = "blue",
datax = TRUE)
##Binning
Use binning to discretize AMT_TOTAL_INCOME into five bins named A through E with A being the lowest and E being the highest - name the new attribute CAT_AMT_TOTAL_INCOME
loan.data$CAT_AMT_TOTAL_INCOME[loan.data$AMT_INCOME_TOTAL > 0 & loan.data$AMT_INCOME_TOTAL <= 100000 ] <- "A"
loan.data$CAT_AMT_TOTAL_INCOME[loan.data$AMT_INCOME_TOTAL > 100000 & loan.data$AMT_INCOME_TOTAL <= 150000 ] <- "B"
loan.data$CAT_AMT_TOTAL_INCOME[loan.data$AMT_INCOME_TOTAL > 150000 & loan.data$AMT_INCOME_TOTAL <= 200000 ] <- "C"
loan.data$CAT_AMT_TOTAL_INCOME[loan.data$AMT_INCOME_TOTAL > 200000 & loan.data$AMT_INCOME_TOTAL <= 250000 ] <- "D"
loan.data$CAT_AMT_TOTAL_INCOME[loan.data$AMT_INCOME_TOTAL > 250000 ] <- "E"Use MICE to impute appropriate values for the missing values
CNT_CHILDREN (note: the actual value in each case was 0)
# md.pattern(loan.data)
# dataframe_children <- as.data.frame(CNT_CHILDREN)
# #note maxit is low due to time for processing can be higher
# imputed_Data <- mice(loan.data, m=1, maxit = 2, method = 'cart', seed = 500)
# imputed_Data$imp$CNT_CHILDREN
# summary(imputed_Data)
# densityplot(imputed_Data)
# completedData <- complete(imputed_Data,1)
# sapply(completedData, function(x) sum(is.na(x)))Contingency table
table(loan.data$NAME_FAMILY_STATUS,loan.data$NAME_HOUSING_TYPE) ## < table of extent 0 x 6 >#get a count of the n way frequency for pairs
count(loan.data,vars = c("NAME_FAMILY_STATUS","NAME_HOUSING_TYPE"))## NAME_FAMILY_STATUS NAME_HOUSING_TYPE freq
## 1 NA Co-op apartment 1122
## 2 NA House / apartment 272868
## 3 NA Municipal apartment 11183
## 4 NA Office apartment 2617
## 5 NA Rented apartment 4881
## 6 NA With parents 14840PCA
classes <- sapply(loan.data.all, class)
loan.data.numeric <- loan.data.all[,classes=="numeric"]
#loan.data.complete <- complete.cases(loan.data.all[,classes=="numeric"])
loan.data.complete <- na.omit(loan.data.numeric) #!is.na(loan.data.numeric))
m.pca <- apply(loan.data.complete, 2, mean)
s.pca <- apply(loan.data.complete, 2, sd)
z.pca <- scale(loan.data.complete, m.pca, s.pca)
#we observe 65 principal components with 26 PCs over 85% contributing to the
#variability we see in the sample
l.pca <- prcomp(z.pca, center = TRUE, scale. = TRUE)
summary(l.pca)## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6
## Standard deviation 4.4435 2.33931 1.90305 1.82100 1.65863 1.56600
## Proportion of Variance 0.3038 0.08419 0.05572 0.05102 0.04232 0.03773
## Cumulative Proportion 0.3038 0.38796 0.44367 0.49469 0.53701 0.57474
## PC7 PC8 PC9 PC10 PC11 PC12
## Standard deviation 1.47292 1.40985 1.37573 1.20075 1.18285 1.14095
## Proportion of Variance 0.03338 0.03058 0.02912 0.02218 0.02153 0.02003
## Cumulative Proportion 0.60812 0.63870 0.66781 0.69000 0.71152 0.73155
## PC13 PC14 PC15 PC16 PC17 PC18
## Standard deviation 1.13369 1.1084 1.07710 1.04445 1.0198 1.01175
## Proportion of Variance 0.01977 0.0189 0.01785 0.01678 0.0160 0.01575
## Cumulative Proportion 0.75132 0.7702 0.78807 0.80485 0.8208 0.83660
## PC19 PC20 PC21 PC22 PC23 PC24
## Standard deviation 0.99689 0.96248 0.95283 0.93880 0.90305 0.88997
## Proportion of Variance 0.01529 0.01425 0.01397 0.01356 0.01255 0.01219
## Cumulative Proportion 0.85189 0.86614 0.88011 0.89367 0.90622 0.91840
## PC25 PC26 PC27 PC28 PC29 PC30
## Standard deviation 0.87013 0.85475 0.82693 0.80111 0.6933 0.65240
## Proportion of Variance 0.01165 0.01124 0.01052 0.00987 0.0074 0.00655
## Cumulative Proportion 0.93005 0.94129 0.95181 0.96168 0.9691 0.97563
## PC31 PC32 PC33 PC34 PC35 PC36
## Standard deviation 0.5467 0.46089 0.44766 0.43210 0.38467 0.34979
## Proportion of Variance 0.0046 0.00327 0.00308 0.00287 0.00228 0.00188
## Cumulative Proportion 0.9802 0.98349 0.98658 0.98945 0.99173 0.99361
## PC37 PC38 PC39 PC40 PC41 PC42
## Standard deviation 0.30236 0.22235 0.17643 0.16453 0.14948 0.14724
## Proportion of Variance 0.00141 0.00076 0.00048 0.00042 0.00034 0.00033
## Cumulative Proportion 0.99501 0.99577 0.99625 0.99667 0.99701 0.99735
## PC43 PC44 PC45 PC46 PC47 PC48
## Standard deviation 0.13548 0.13115 0.12232 0.12132 0.1144 0.11092
## Proportion of Variance 0.00028 0.00026 0.00023 0.00023 0.0002 0.00019
## Cumulative Proportion 0.99763 0.99789 0.99812 0.99835 0.9986 0.99874
## PC49 PC50 PC51 PC52 PC53 PC54
## Standard deviation 0.10835 0.10173 0.09321 0.08716 0.08470 0.08174
## Proportion of Variance 0.00018 0.00016 0.00013 0.00012 0.00011 0.00010
## Cumulative Proportion 0.99892 0.99908 0.99922 0.99933 0.99944 0.99955
## PC55 PC56 PC57 PC58 PC59 PC60
## Standard deviation 0.07817 0.07641 0.06584 0.05219 0.04700 0.04304
## Proportion of Variance 0.00009 0.00009 0.00007 0.00004 0.00003 0.00003
## Cumulative Proportion 0.99964 0.99973 0.99980 0.99984 0.99987 0.99990
## PC61 PC62 PC63 PC64 PC65
## Standard deviation 0.04142 0.03910 0.03603 0.03342 0.02860
## Proportion of Variance 0.00003 0.00002 0.00002 0.00002 0.00001
## Cumulative Proportion 0.99993 0.99995 0.99997 0.99999 1.00000head(l.pca)## $sdev
## [1] 4.44350806 2.33931471 1.90304599 1.82099999 1.65863063 1.56600111
## [7] 1.47291589 1.40984569 1.37572530 1.20075086 1.18284736 1.14095449
## [13] 1.13369126 1.10838223 1.07709611 1.04444530 1.01982956 1.01175258
## [19] 0.99689284 0.96247910 0.95283163 0.93880233 0.90305363 0.88996718
## [25] 0.87012549 0.85474792 0.82693325 0.80111488 0.69333290 0.65240009
## [31] 0.54673258 0.46088768 0.44765724 0.43210099 0.38467497 0.34979396
## [37] 0.30235980 0.22235017 0.17643127 0.16453013 0.14947873 0.14723504
## [43] 0.13548483 0.13115495 0.12231823 0.12131874 0.11442761 0.11092062
## [49] 0.10835252 0.10173126 0.09320591 0.08715703 0.08469848 0.08174489
## [55] 0.07817286 0.07641211 0.06583996 0.05218622 0.04699776 0.04303784
## [61] 0.04142154 0.03910185 0.03603296 0.03341844 0.02859889
##
## $rotation
## PC1 PC2 PC3
## AMT_INCOME_TOTAL 3.398739e-02 0.075190229 -0.179016112
## AMT_CREDIT 1.834577e-02 0.062006046 -0.228106895
## AMT_ANNUITY 2.251889e-02 0.068557830 -0.220763164
## AMT_GOODS_PRICE 1.947296e-02 0.064154574 -0.226888428
## REGION_POPULATION_RELATIVE 4.609324e-02 0.085974008 -0.225285302
## DAYS_REGISTRATION 1.505339e-02 0.055379695 0.081834777
## OWN_CAR_AGE -1.642967e-02 -0.033633812 0.050148253
## CNT_FAM_MEMBERS -1.803962e-03 0.007372163 0.019735260
## EXT_SOURCE_1 1.947778e-02 0.040657397 -0.104933704
## EXT_SOURCE_2 2.104225e-02 0.053199711 -0.112922744
## EXT_SOURCE_3 1.209989e-03 0.002899984 -0.007951510
## APARTMENTS_AVG 2.116767e-01 -0.051686695 -0.031661685
## BASEMENTAREA_AVG 1.613654e-01 -0.154673968 0.042199541
## YEARS_BEGINEXPLUATATION_AVG 7.907743e-02 0.190804966 0.301983739
## YEARS_BUILD_AVG 1.116372e-01 0.219038570 0.264103346
## COMMONAREA_AVG 1.419840e-01 -0.013407845 -0.045632379
## ELEVATORS_AVG 2.004301e-01 0.028698839 -0.064122432
## ENTRANCES_AVG 1.270123e-01 -0.276161254 0.078923812
## FLOORSMAX_AVG 1.641689e-01 0.238716933 -0.056946199
## FLOORSMIN_AVG 1.294537e-01 0.228904738 -0.067300479
## LANDAREA_AVG 1.037884e-01 -0.142001985 0.158904195
## LIVINGAPARTMENTS_AVG 2.048096e-01 -0.054005779 -0.028176393
## LIVINGAREA_AVG 2.137678e-01 -0.043734905 -0.020328706
## NONLIVINGAPARTMENTS_AVG 5.720701e-02 -0.003471261 -0.146852574
## NONLIVINGAREA_AVG 9.382205e-02 0.007805911 -0.143403114
## APARTMENTS_MODE 2.080965e-01 -0.064680352 -0.018929476
## BASEMENTAREA_MODE 1.580833e-01 -0.169797588 0.052876086
## YEARS_BEGINEXPLUATATION_MODE 4.710097e-02 0.132342144 0.247898706
## YEARS_BUILD_MODE 1.115232e-01 0.213881281 0.265595433
## COMMONAREA_MODE 1.406570e-01 -0.025318407 -0.037838982
## ELEVATORS_MODE 1.991543e-01 0.019193930 -0.053220310
## ENTRANCES_MODE 1.216576e-01 -0.279894364 0.084184961
## FLOORSMAX_MODE 1.640304e-01 0.233433889 -0.052287981
## FLOORSMIN_MODE 1.283856e-01 0.222858418 -0.063378587
## LANDAREA_MODE 1.024377e-01 -0.149667477 0.160291230
## LIVINGAPARTMENTS_MODE 2.045759e-01 -0.066886395 -0.015137502
## LIVINGAREA_MODE 2.099593e-01 -0.058080679 -0.009352170
## NONLIVINGAPARTMENTS_MODE 5.596454e-02 -0.010268500 -0.143252647
## NONLIVINGAREA_MODE 9.253932e-02 -0.007357767 -0.136196346
## APARTMENTS_MEDI 2.117871e-01 -0.054109180 -0.027716019
## BASEMENTAREA_MEDI 1.621180e-01 -0.159142984 0.043192293
## YEARS_BEGINEXPLUATATION_MEDI 8.535383e-02 0.197737928 0.296309330
## YEARS_BUILD_MEDI 1.114387e-01 0.219495437 0.264157135
## COMMONAREA_MEDI 1.421085e-01 -0.014289936 -0.044563512
## ELEVATORS_MEDI 2.006257e-01 0.026925882 -0.061218946
## ENTRANCES_MEDI 1.263078e-01 -0.277818218 0.080569636
## FLOORSMAX_MEDI 1.635619e-01 0.239467296 -0.055906076
## FLOORSMIN_MEDI 1.291562e-01 0.228619107 -0.066634275
## LANDAREA_MEDI 1.042763e-01 -0.143451064 0.159611288
## LIVINGAPARTMENTS_MEDI 2.057247e-01 -0.056131738 -0.024566601
## LIVINGAREA_MEDI 2.134784e-01 -0.045488957 -0.018301127
## NONLIVINGAPARTMENTS_MEDI 5.697079e-02 -0.005150090 -0.145583691
## NONLIVINGAREA_MEDI 9.419455e-02 0.003318187 -0.141626180
## TOTALAREA_MODE 2.080203e-01 -0.031539801 -0.020430551
## OBS_30_CNT_SOCIAL_CIRCLE -1.027423e-02 -0.023841727 0.064558146
## DEF_30_CNT_SOCIAL_CIRCLE -5.227585e-03 -0.024095570 0.030995492
## OBS_60_CNT_SOCIAL_CIRCLE -1.031122e-02 -0.023648523 0.064380656
## DEF_60_CNT_SOCIAL_CIRCLE -6.254822e-03 -0.022295836 0.031815150
## DAYS_LAST_PHONE_CHANGE 6.635795e-04 -0.001407901 0.023605393
## AMT_REQ_CREDIT_BUREAU_HOUR -5.927534e-05 0.008411386 -0.013339526
## AMT_REQ_CREDIT_BUREAU_DAY -5.263790e-05 -0.002564037 -0.002615768
## AMT_REQ_CREDIT_BUREAU_WEEK 1.171467e-03 -0.006168148 -0.005262328
## AMT_REQ_CREDIT_BUREAU_MON 7.889700e-03 0.012785683 -0.037818686
## AMT_REQ_CREDIT_BUREAU_QRT -1.554057e-03 0.002215408 0.004693744
## AMT_REQ_CREDIT_BUREAU_YEAR -7.756570e-03 -0.009197675 0.009377317
## PC4 PC5 PC6
## AMT_INCOME_TOTAL 7.266509e-02 -0.223940986 0.0326507523
## AMT_CREDIT 1.270705e-01 -0.453084526 0.1193854292
## AMT_ANNUITY 1.166761e-01 -0.408048888 0.1014107792
## AMT_GOODS_PRICE 1.257984e-01 -0.456519790 0.1187080161
## REGION_POPULATION_RELATIVE 1.075719e-01 0.060761424 0.0114542085
## DAYS_REGISTRATION -8.094000e-02 -0.019092021 0.0429736903
## OWN_CAR_AGE -1.347411e-02 0.070029430 -0.0103742027
## CNT_FAM_MEMBERS -2.189136e-02 -0.036439570 0.0170876207
## EXT_SOURCE_1 4.689195e-02 -0.117425997 -0.0122981591
## EXT_SOURCE_2 4.982255e-02 -0.064692105 -0.0112751044
## EXT_SOURCE_3 -1.344741e-03 -0.061204433 -0.0463617157
## APARTMENTS_AVG 2.186297e-02 0.038497077 0.0105341332
## BASEMENTAREA_AVG 1.149743e-03 -0.076394844 0.0017835922
## YEARS_BEGINEXPLUATATION_AVG -9.301239e-02 -0.178584223 0.0138131916
## YEARS_BUILD_AVG -7.265050e-02 -0.123650409 -0.0018849078
## COMMONAREA_AVG 1.175828e-02 0.050162175 0.0067494519
## ELEVATORS_AVG 6.952802e-02 0.073384081 0.0112252405
## ENTRANCES_AVG 4.145550e-02 -0.095107201 -0.0013538430
## FLOORSMAX_AVG 4.160872e-02 0.079251598 -0.0028387251
## FLOORSMIN_AVG 9.119167e-02 0.132968032 -0.0124291825
## LANDAREA_AVG 5.468012e-04 -0.087349194 -0.0636391233
## LIVINGAPARTMENTS_AVG 3.481888e-02 0.043951172 0.0161550179
## LIVINGAREA_AVG 4.304357e-02 0.029934255 0.0085012535
## NONLIVINGAPARTMENTS_AVG -4.171700e-01 -0.018937276 -0.0234568327
## NONLIVINGAREA_AVG -3.115233e-01 -0.035205947 0.0049028156
## APARTMENTS_MODE 1.972261e-02 0.035711459 0.0100523133
## BASEMENTAREA_MODE 3.898584e-03 -0.076673182 0.0008344111
## YEARS_BEGINEXPLUATATION_MODE -7.960820e-02 -0.161726421 0.0163072112
## YEARS_BUILD_MODE -7.287917e-02 -0.124948827 -0.0012092259
## COMMONAREA_MODE 7.926893e-03 0.048369838 0.0070500604
## ELEVATORS_MODE 6.792942e-02 0.072747709 0.0127606021
## ENTRANCES_MODE 3.914293e-02 -0.096470762 -0.0006387807
## FLOORSMAX_MODE 4.307486e-02 0.077829628 -0.0015735835
## FLOORSMIN_MODE 9.005412e-02 0.132811282 -0.0129785247
## LANDAREA_MODE 2.097686e-03 -0.087282053 -0.0623297061
## LIVINGAPARTMENTS_MODE 4.104545e-02 0.043387269 0.0161876676
## LIVINGAREA_MODE 4.349354e-02 0.029357834 0.0091187475
## NONLIVINGAPARTMENTS_MODE -4.186441e-01 -0.019710847 -0.0232465998
## NONLIVINGAREA_MODE -3.126596e-01 -0.035957670 0.0058514580
## APARTMENTS_MEDI 2.210566e-02 0.038475869 0.0106653159
## BASEMENTAREA_MEDI 1.696153e-04 -0.075835739 -0.0004829180
## YEARS_BEGINEXPLUATATION_MEDI -8.970154e-02 -0.165652857 0.0104649349
## YEARS_BUILD_MEDI -7.282000e-02 -0.122987359 -0.0020757865
## COMMONAREA_MEDI 1.151781e-02 0.050005266 0.0071130333
## ELEVATORS_MEDI 6.840309e-02 0.073857202 0.0114136184
## ENTRANCES_MEDI 4.093742e-02 -0.096072205 -0.0019707538
## FLOORSMAX_MEDI 4.168278e-02 0.079379429 -0.0023372610
## FLOORSMIN_MEDI 9.128346e-02 0.133162295 -0.0128464138
## LANDAREA_MEDI -8.552014e-05 -0.088219026 -0.0635057763
## LIVINGAPARTMENTS_MEDI 3.526467e-02 0.044433620 0.0160317511
## LIVINGAREA_MEDI 4.291611e-02 0.029850441 0.0086174885
## NONLIVINGAPARTMENTS_MEDI -4.196026e-01 -0.018776598 -0.0236474224
## NONLIVINGAREA_MEDI -3.148448e-01 -0.035714854 0.0038155113
## TOTALAREA_MODE 1.615573e-02 0.021779623 0.0069072016
## OBS_30_CNT_SOCIAL_CIRCLE -4.399053e-02 0.070194688 0.5152414769
## DEF_30_CNT_SOCIAL_CIRCLE -2.343812e-02 0.076853581 0.4653051123
## OBS_60_CNT_SOCIAL_CIRCLE -4.414527e-02 0.070080393 0.5156915874
## DEF_60_CNT_SOCIAL_CIRCLE -2.041522e-02 0.072651515 0.4329096600
## DAYS_LAST_PHONE_CHANGE -2.442866e-02 0.038979383 -0.0285368685
## AMT_REQ_CREDIT_BUREAU_HOUR -5.368181e-04 0.005202176 0.0026205555
## AMT_REQ_CREDIT_BUREAU_DAY 4.315880e-03 -0.014744490 -0.0037185304
## AMT_REQ_CREDIT_BUREAU_WEEK 8.046284e-03 -0.005764279 0.0121988409
## AMT_REQ_CREDIT_BUREAU_MON 2.011080e-02 -0.020987407 0.0184473690
## AMT_REQ_CREDIT_BUREAU_QRT -1.989113e-02 -0.012974223 -0.0020976279
## AMT_REQ_CREDIT_BUREAU_YEAR -1.686087e-02 0.037170041 0.0459532386
## PC7 PC8 PC9
## AMT_INCOME_TOTAL -0.0176959264 0.0207892912 -0.0239683594
## AMT_CREDIT 0.0505548455 -0.0328806370 -0.0330328866
## AMT_ANNUITY 0.0526199305 -0.0374891106 -0.0328966075
## AMT_GOODS_PRICE 0.0527166706 -0.0314766891 -0.0328257616
## REGION_POPULATION_RELATIVE -0.0470693345 -0.0154499414 0.0458768087
## DAYS_REGISTRATION -0.0014451599 0.0528353544 -0.0661429873
## OWN_CAR_AGE -0.0227657209 -0.0173458636 -0.0109337161
## CNT_FAM_MEMBERS 0.0082503008 0.0160855662 0.0154554198
## EXT_SOURCE_1 -0.0007788718 0.0169792898 0.0486832608
## EXT_SOURCE_2 -0.0081533794 0.0075358150 0.0750731726
## EXT_SOURCE_3 0.0089720810 0.0067796466 0.0189738117
## APARTMENTS_AVG -0.0333951362 -0.0336148766 0.0599376381
## BASEMENTAREA_AVG -0.0767840220 0.0280379470 0.1115441141
## YEARS_BEGINEXPLUATATION_AVG -0.1311437870 -0.0564199327 0.0228853283
## YEARS_BUILD_AVG -0.0399097559 -0.0125556794 -0.0017613176
## COMMONAREA_AVG -0.1211718306 -0.1539528460 -0.5018439336
## ELEVATORS_AVG -0.0314978322 -0.0244837020 0.0454463013
## ENTRANCES_AVG -0.0596979815 -0.0324912345 0.1002960255
## FLOORSMAX_AVG 0.0680677076 0.0397115115 0.0155288819
## FLOORSMIN_AVG 0.1942332854 0.0365372836 0.0717479463
## LANDAREA_AVG 0.4504490853 0.1233332166 -0.1534223626
## LIVINGAPARTMENTS_AVG -0.0449435666 -0.0300863059 0.0435364655
## LIVINGAREA_AVG -0.0329642089 -0.0098498540 0.0599707085
## NONLIVINGAPARTMENTS_AVG 0.1465123493 -0.3200008347 0.0846732172
## NONLIVINGAREA_AVG -0.1093347401 0.4247350962 -0.0647034816
## APARTMENTS_MODE -0.0304718679 -0.0301071117 0.0606663579
## BASEMENTAREA_MODE -0.0711439790 0.0194132047 0.1107142192
## YEARS_BEGINEXPLUATATION_MODE -0.1381158187 -0.0616956232 0.0278269677
## YEARS_BUILD_MODE -0.0383999318 -0.0130402418 -0.0013923209
## COMMONAREA_MODE -0.1183287287 -0.1531445240 -0.5013288462
## ELEVATORS_MODE -0.0261149915 -0.0250805683 0.0463767625
## ENTRANCES_MODE -0.0532874258 -0.0297841845 0.0986312856
## FLOORSMAX_MODE 0.0692792522 0.0376716109 0.0179002763
## FLOORSMIN_MODE 0.1965875365 0.0366200047 0.0704528327
## LANDAREA_MODE 0.4469337298 0.1211936965 -0.1493344621
## LIVINGAPARTMENTS_MODE -0.0432347963 -0.0217788312 0.0367959399
## LIVINGAREA_MODE -0.0296991172 -0.0138323662 0.0585406308
## NONLIVINGAPARTMENTS_MODE 0.1461993253 -0.3198030328 0.0809436845
## NONLIVINGAREA_MODE -0.1084351966 0.4163605160 -0.0685607098
## APARTMENTS_MEDI -0.0335784311 -0.0338731924 0.0598615365
## BASEMENTAREA_MEDI -0.0782310066 0.0287024096 0.1113107738
## YEARS_BEGINEXPLUATATION_MEDI -0.1121862463 -0.0471164307 0.0183038255
## YEARS_BUILD_MEDI -0.0398291072 -0.0122156543 -0.0020973532
## COMMONAREA_MEDI -0.1211112211 -0.1535482065 -0.5019560554
## ELEVATORS_MEDI -0.0307447383 -0.0241816276 0.0465499176
## ENTRANCES_MEDI -0.0586522688 -0.0325491677 0.0992200138
## FLOORSMAX_MEDI 0.0691852114 0.0394474410 0.0149214175
## FLOORSMIN_MEDI 0.1951862145 0.0364794680 0.0716097219
## LANDAREA_MEDI 0.4510013025 0.1237952843 -0.1526571734
## LIVINGAPARTMENTS_MEDI -0.0460414921 -0.0279947630 0.0428983135
## LIVINGAREA_MEDI -0.0329101364 -0.0100686529 0.0603295695
## NONLIVINGAPARTMENTS_MEDI 0.1480034096 -0.3204231647 0.0852794318
## NONLIVINGAREA_MEDI -0.1087272024 0.4274289287 -0.0677540055
## TOTALAREA_MODE -0.0390391827 0.0209067828 0.0214800997
## OBS_30_CNT_SOCIAL_CIRCLE 0.0416842482 0.0154624799 -0.0033163670
## DEF_30_CNT_SOCIAL_CIRCLE 0.0658754935 -0.0038766017 0.0024464916
## OBS_60_CNT_SOCIAL_CIRCLE 0.0418350865 0.0150835350 -0.0033833365
## DEF_60_CNT_SOCIAL_CIRCLE 0.0625879427 0.0008460622 0.0008427709
## DAYS_LAST_PHONE_CHANGE 0.0063424307 0.0203223250 -0.0623184468
## AMT_REQ_CREDIT_BUREAU_HOUR 0.0082328811 0.0051687431 0.0139266185
## AMT_REQ_CREDIT_BUREAU_DAY -0.0036176642 0.0023901872 0.0092113880
## AMT_REQ_CREDIT_BUREAU_WEEK 0.0143784566 0.0005847524 0.0023156716
## AMT_REQ_CREDIT_BUREAU_MON 0.0299888003 0.0123980865 -0.0062268905
## AMT_REQ_CREDIT_BUREAU_QRT 0.0217078416 0.0039185358 0.0116440108
## AMT_REQ_CREDIT_BUREAU_YEAR -0.0006383970 -0.0061432557 -0.0022047116
## PC10 PC11 PC12
## AMT_INCOME_TOTAL 0.0350176160 -0.0282888341 0.015283124
## AMT_CREDIT 0.1149533228 0.0129644912 -0.012872743
## AMT_ANNUITY 0.1023269302 -0.0050396941 -0.009417451
## AMT_GOODS_PRICE 0.1116398260 0.0131931110 -0.015107197
## REGION_POPULATION_RELATIVE -0.1852818233 -0.0594778388 0.094536336
## DAYS_REGISTRATION 0.3725393936 0.0305899595 -0.099410628
## OWN_CAR_AGE 0.0677379924 0.0079937067 -0.018087345
## CNT_FAM_MEMBERS 0.1429365083 0.0845789498 -0.103203527
## EXT_SOURCE_1 -0.4127587682 0.0112785078 -0.010105204
## EXT_SOURCE_2 -0.4079663849 0.0397634055 -0.074418341
## EXT_SOURCE_3 -0.2433944082 0.1035432052 -0.160658978
## APARTMENTS_AVG 0.0300604469 0.0082191437 -0.120221265
## BASEMENTAREA_AVG 0.0048867321 0.0037232881 0.269798623
## YEARS_BEGINEXPLUATATION_AVG -0.1733562359 -0.0789814999 0.023339835
## YEARS_BUILD_AVG 0.0992115455 0.0389115099 -0.026406910
## COMMONAREA_AVG -0.0613343449 -0.0050914104 0.101705364
## ELEVATORS_AVG 0.0054975369 0.0155201657 -0.160025191
## ENTRANCES_AVG -0.0312148729 -0.0307931053 0.156810863
## FLOORSMAX_AVG 0.0103512063 0.0128200239 0.010393514
## FLOORSMIN_AVG -0.0160430917 -0.0260634166 0.278564695
## LANDAREA_AVG -0.0672316668 -0.0009973088 -0.066974760
## LIVINGAPARTMENTS_AVG 0.0389797792 0.0062577249 -0.131861930
## LIVINGAREA_AVG 0.0242701472 0.0066134489 -0.093602326
## NONLIVINGAPARTMENTS_AVG -0.0007877960 0.0033979127 0.019683985
## NONLIVINGAREA_AVG -0.0289682529 -0.0239978199 0.018457307
## APARTMENTS_MODE 0.0338866060 0.0128687645 -0.117872909
## BASEMENTAREA_MODE 0.0139990197 0.0050399407 0.264112013
## YEARS_BEGINEXPLUATATION_MODE -0.2474507634 -0.1120492268 0.038646783
## YEARS_BUILD_MODE 0.1012220630 0.0400447314 -0.026444526
## COMMONAREA_MODE -0.0535619979 -0.0034242219 0.096338952
## ELEVATORS_MODE 0.0115128770 0.0195286159 -0.163123520
## ENTRANCES_MODE -0.0233695057 -0.0282273689 0.155619382
## FLOORSMAX_MODE 0.0159597645 0.0150891005 0.012067355
## FLOORSMIN_MODE -0.0144391669 -0.0235393659 0.283562505
## LANDAREA_MODE -0.0633899941 -0.0010940016 -0.064371117
## LIVINGAPARTMENTS_MODE 0.0427027734 0.0106589128 -0.129597214
## LIVINGAREA_MODE 0.0317649628 0.0109842171 -0.090754355
## NONLIVINGAPARTMENTS_MODE -0.0008073251 0.0040505824 0.018156590
## NONLIVINGAREA_MODE -0.0215436102 -0.0178912411 0.012526372
## APARTMENTS_MEDI 0.0318309720 0.0088376672 -0.119811488
## BASEMENTAREA_MEDI 0.0067142098 0.0022081493 0.268010474
## YEARS_BEGINEXPLUATATION_MEDI -0.1091806796 -0.0509863598 0.013103382
## YEARS_BUILD_MEDI 0.0994060215 0.0387741043 -0.025683338
## COMMONAREA_MEDI -0.0605473752 -0.0045400134 0.101324956
## ELEVATORS_MEDI 0.0073928218 0.0162402924 -0.161097157
## ENTRANCES_MEDI -0.0297078512 -0.0311941030 0.156275927
## FLOORSMAX_MEDI 0.0113768684 0.0127506561 0.011161239
## FLOORSMIN_MEDI -0.0161715631 -0.0258180482 0.280315973
## LANDAREA_MEDI -0.0666765114 -0.0006917095 -0.065590929
## LIVINGAPARTMENTS_MEDI 0.0406649158 0.0062795743 -0.132041621
## LIVINGAREA_MEDI 0.0258005598 0.0067594305 -0.094007851
## NONLIVINGAPARTMENTS_MEDI -0.0001292512 0.0030690102 0.020141957
## NONLIVINGAREA_MEDI -0.0276636183 -0.0200974000 0.018790305
## TOTALAREA_MODE 0.0229533850 0.0078770187 -0.074852502
## OBS_30_CNT_SOCIAL_CIRCLE -0.0395766324 0.4441860453 0.081789159
## DEF_30_CNT_SOCIAL_CIRCLE -0.0330008530 -0.4832332852 -0.074239472
## OBS_60_CNT_SOCIAL_CIRCLE -0.0396805352 0.4434997399 0.081650963
## DEF_60_CNT_SOCIAL_CIRCLE -0.0239706481 -0.5342458321 -0.084765889
## DAYS_LAST_PHONE_CHANGE 0.3700035057 -0.0697940165 0.105634518
## AMT_REQ_CREDIT_BUREAU_HOUR 0.0765543614 -0.0755113827 0.151541546
## AMT_REQ_CREDIT_BUREAU_DAY 0.1357374453 -0.1180258786 0.232912877
## AMT_REQ_CREDIT_BUREAU_WEEK 0.0810634581 -0.0443085169 0.202079802
## AMT_REQ_CREDIT_BUREAU_MON -0.1072606829 -0.0017976661 0.001436452
## AMT_REQ_CREDIT_BUREAU_QRT -0.0442799633 0.0316306120 0.022613522
## AMT_REQ_CREDIT_BUREAU_YEAR -0.0945112180 0.0049871646 0.068575025
## PC13 PC14 PC15
## AMT_INCOME_TOTAL -0.075297127 1.200907e-01 -0.099934425
## AMT_CREDIT 0.012595469 2.323897e-02 0.025832995
## AMT_ANNUITY -0.020585791 5.989847e-02 -0.036630330
## AMT_GOODS_PRICE 0.014992033 1.712583e-02 0.025626924
## REGION_POPULATION_RELATIVE -0.063789997 1.060361e-01 0.071599338
## DAYS_REGISTRATION 0.073888364 2.214345e-02 -0.009811266
## OWN_CAR_AGE -0.037705810 4.836496e-02 0.136975836
## CNT_FAM_MEMBERS 0.083212831 -5.658259e-02 0.120518418
## EXT_SOURCE_1 0.054234173 -2.443596e-01 -0.017799727
## EXT_SOURCE_2 0.047279932 -1.863679e-01 0.024905315
## EXT_SOURCE_3 0.190651416 -3.260635e-01 0.252036425
## APARTMENTS_AVG -0.063846891 1.088568e-02 -0.004067624
## BASEMENTAREA_AVG 0.167395523 -4.122074e-02 -0.009785027
## YEARS_BEGINEXPLUATATION_AVG -0.196361869 2.073350e-01 0.105770180
## YEARS_BUILD_AVG 0.169484049 -2.064841e-01 -0.106444171
## COMMONAREA_AVG 0.048303592 -2.160203e-02 0.006615148
## ELEVATORS_AVG -0.078790020 8.312678e-03 -0.005213104
## ENTRANCES_AVG 0.062810972 3.092640e-02 0.022611735
## FLOORSMAX_AVG 0.018971181 -3.144832e-02 -0.018461149
## FLOORSMIN_AVG 0.082134918 8.947026e-02 0.061245991
## LANDAREA_AVG -0.066885233 1.571407e-02 0.003971240
## LIVINGAPARTMENTS_AVG -0.062557667 9.090472e-04 -0.005812429
## LIVINGAREA_AVG -0.044943463 -1.481315e-03 -0.007799758
## NONLIVINGAPARTMENTS_AVG 0.006923365 -2.299691e-03 0.009275555
## NONLIVINGAREA_AVG -0.009855880 1.478280e-02 0.011520231
## APARTMENTS_MODE -0.062660312 1.629512e-02 -0.002377637
## BASEMENTAREA_MODE 0.165825183 -3.742780e-02 -0.008501579
## YEARS_BEGINEXPLUATATION_MODE -0.305136599 3.343672e-01 0.175096449
## YEARS_BUILD_MODE 0.171413183 -2.043638e-01 -0.105435227
## COMMONAREA_MODE 0.047307825 -2.058741e-02 0.006407209
## ELEVATORS_MODE -0.077932783 1.142507e-02 -0.004175821
## ENTRANCES_MODE 0.064283325 3.439154e-02 0.023784026
## FLOORSMAX_MODE 0.021164449 -3.138099e-02 -0.017668632
## FLOORSMIN_MODE 0.087351379 9.257543e-02 0.061332162
## LANDAREA_MODE -0.066364615 1.851387e-02 0.003228172
## LIVINGAPARTMENTS_MODE -0.059352214 1.866849e-03 -0.007387126
## LIVINGAREA_MODE -0.041256065 4.071779e-03 -0.006895323
## NONLIVINGAPARTMENTS_MODE 0.009070389 -4.099898e-04 0.006417964
## NONLIVINGAREA_MODE -0.010361646 2.108815e-02 0.011076044
## APARTMENTS_MEDI -0.063470802 1.007164e-02 -0.005488431
## BASEMENTAREA_MEDI 0.165942392 -4.100145e-02 -0.008342629
## YEARS_BEGINEXPLUATATION_MEDI -0.108262842 1.093667e-01 0.049543794
## YEARS_BUILD_MEDI 0.169807219 -2.068956e-01 -0.105761460
## COMMONAREA_MEDI 0.048316640 -2.173866e-02 0.006654354
## ELEVATORS_MEDI -0.078632768 7.672212e-03 -0.005905981
## ENTRANCES_MEDI 0.062380033 3.054519e-02 0.023545653
## FLOORSMAX_MEDI 0.019482984 -3.208458e-02 -0.018406177
## FLOORSMIN_MEDI 0.083216142 8.926277e-02 0.061129396
## LANDAREA_MEDI -0.066607004 1.611629e-02 0.001929165
## LIVINGAPARTMENTS_MEDI -0.061911508 4.692501e-05 -0.007745635
## LIVINGAREA_MEDI -0.044386895 -2.177755e-03 -0.007975213
## NONLIVINGAPARTMENTS_MEDI 0.006804629 -2.688634e-03 0.007508799
## NONLIVINGAREA_MEDI -0.008864463 1.805202e-02 0.009415846
## TOTALAREA_MODE -0.039910188 -2.965800e-03 -0.008725084
## OBS_30_CNT_SOCIAL_CIRCLE -0.079002247 1.580314e-02 0.050237100
## DEF_30_CNT_SOCIAL_CIRCLE 0.113563510 -5.801120e-02 -0.003626334
## OBS_60_CNT_SOCIAL_CIRCLE -0.078884647 1.554652e-02 0.050110661
## DEF_60_CNT_SOCIAL_CIRCLE 0.124106968 -6.147548e-02 -0.006969130
## DAYS_LAST_PHONE_CHANGE -0.020165542 1.835452e-01 0.269257909
## AMT_REQ_CREDIT_BUREAU_HOUR -0.300577328 -3.017019e-01 0.040891727
## AMT_REQ_CREDIT_BUREAU_DAY -0.450744267 -4.107898e-01 -0.016586840
## AMT_REQ_CREDIT_BUREAU_WEEK -0.410754830 -2.927860e-01 -0.079131310
## AMT_REQ_CREDIT_BUREAU_MON -0.046714872 3.464818e-02 0.099553657
## AMT_REQ_CREDIT_BUREAU_QRT 0.035917087 1.737941e-01 -0.485443901
## AMT_REQ_CREDIT_BUREAU_YEAR -0.098347950 1.074423e-01 -0.678046844
## PC16 PC17 PC18
## AMT_INCOME_TOTAL 0.1296660960 -0.155959202 -0.2288044404
## AMT_CREDIT -0.0950489289 0.054483231 0.1089529546
## AMT_ANNUITY -0.0389814506 0.044219517 0.0561586709
## AMT_GOODS_PRICE -0.0946554843 0.056942948 0.1012004577
## REGION_POPULATION_RELATIVE 0.1767688268 -0.172159481 -0.2094165573
## DAYS_REGISTRATION 0.4216878457 -0.042932987 0.0459791931
## OWN_CAR_AGE -0.3872966204 -0.038791779 0.6080459811
## CNT_FAM_MEMBERS 0.6680870685 0.104982002 0.3385326758
## EXT_SOURCE_1 -0.0855949600 0.082204465 -0.1364644613
## EXT_SOURCE_2 0.2779656924 -0.121978890 -0.0691568531
## EXT_SOURCE_3 -0.0451725555 0.406335181 0.0494646408
## APARTMENTS_AVG -0.0191117353 0.018686193 0.0015372700
## BASEMENTAREA_AVG 0.0080801243 -0.109257542 -0.0043476665
## YEARS_BEGINEXPLUATATION_AVG 0.0453898533 0.057807229 0.0261626241
## YEARS_BUILD_AVG -0.0726428165 -0.088569530 -0.0614445748
## COMMONAREA_AVG 0.0285152836 0.014677472 0.0218127644
## ELEVATORS_AVG -0.0148253809 -0.017620343 -0.0228192565
## ENTRANCES_AVG 0.0531014879 0.052360531 -0.0027762839
## FLOORSMAX_AVG -0.0089019089 -0.042171762 -0.0300084851
## FLOORSMIN_AVG 0.0220233585 0.109745373 0.1100885746
## LANDAREA_AVG 0.0106634205 -0.037137985 -0.0385511681
## LIVINGAPARTMENTS_AVG -0.0225990374 0.018684881 0.0042770251
## LIVINGAREA_AVG -0.0048217628 0.016614107 -0.0027424028
## NONLIVINGAPARTMENTS_AVG 0.0007552171 -0.015175429 -0.0115671701
## NONLIVINGAREA_AVG -0.0218974546 0.017118075 0.0223377686
## APARTMENTS_MODE -0.0198185710 0.032763925 0.0186959299
## BASEMENTAREA_MODE 0.0039998170 -0.095687213 0.0107090569
## YEARS_BEGINEXPLUATATION_MODE 0.0843172986 0.108713411 0.0585306220
## YEARS_BUILD_MODE -0.0735020609 -0.086150613 -0.0576129154
## COMMONAREA_MODE 0.0231898346 0.022963856 0.0285886182
## ELEVATORS_MODE -0.0184508592 -0.003212007 -0.0072465490
## ENTRANCES_MODE 0.0526389734 0.060628217 0.0087383900
## FLOORSMAX_MODE -0.0108763056 -0.035734032 -0.0237265115
## FLOORSMIN_MODE 0.0206169177 0.121837138 0.1189089240
## LANDAREA_MODE 0.0134154390 -0.030345418 -0.0309708051
## LIVINGAPARTMENTS_MODE -0.0257879818 0.027643493 0.0193199355
## LIVINGAREA_MODE -0.0093316491 0.030137213 0.0118940009
## NONLIVINGAPARTMENTS_MODE 0.0004486564 -0.012743234 -0.0055071623
## NONLIVINGAREA_MODE -0.0276366578 0.035267300 0.0355264735
## APARTMENTS_MEDI -0.0199224408 0.020562789 0.0041995327
## BASEMENTAREA_MEDI 0.0049024900 -0.107770959 -0.0006702246
## YEARS_BEGINEXPLUATATION_MEDI 0.0138084017 0.021388661 0.0039775643
## YEARS_BUILD_MEDI -0.0732589559 -0.088569271 -0.0611468816
## COMMONAREA_MEDI 0.0283445538 0.014974531 0.0212819565
## ELEVATORS_MEDI -0.0167461692 -0.015439430 -0.0195791178
## ENTRANCES_MEDI 0.0524175015 0.052939428 -0.0023646794
## FLOORSMAX_MEDI -0.0097682620 -0.041001660 -0.0293171657
## FLOORSMIN_MEDI 0.0221652935 0.112332384 0.1118859248
## LANDAREA_MEDI 0.0106942130 -0.035975993 -0.0355203839
## LIVINGAPARTMENTS_MEDI -0.0232179246 0.020440304 0.0059084920
## LIVINGAREA_MEDI -0.0052411771 0.017787518 -0.0005899345
## NONLIVINGAPARTMENTS_MEDI 0.0015063125 -0.014109348 -0.0096896418
## NONLIVINGAREA_MEDI -0.0251591241 0.020669528 0.0260496695
## TOTALAREA_MODE -0.0043329908 0.013979523 0.0005717811
## OBS_30_CNT_SOCIAL_CIRCLE -0.0220906231 0.003575068 -0.0562178682
## DEF_30_CNT_SOCIAL_CIRCLE 0.0074386561 0.014846116 -0.0039171050
## OBS_60_CNT_SOCIAL_CIRCLE -0.0221617362 0.003529875 -0.0558017516
## DEF_60_CNT_SOCIAL_CIRCLE 0.0089943097 0.010868688 0.0147736227
## DAYS_LAST_PHONE_CHANGE -0.1281907249 0.117528727 -0.4752179183
## AMT_REQ_CREDIT_BUREAU_HOUR 0.0503349838 0.040995584 0.0579272916
## AMT_REQ_CREDIT_BUREAU_DAY -0.0029053389 0.051922495 0.0172612841
## AMT_REQ_CREDIT_BUREAU_WEEK 0.0779772884 0.020201383 -0.0229757013
## AMT_REQ_CREDIT_BUREAU_MON -0.0245294004 -0.685320417 0.1654536206
## AMT_REQ_CREDIT_BUREAU_QRT 0.0236698215 0.332309072 -0.0637762850
## AMT_REQ_CREDIT_BUREAU_YEAR 0.0211755527 -0.007331276 0.1787075431
## PC19 PC20 PC21
## AMT_INCOME_TOTAL 0.0142946189 0.156787690 -9.497621e-02
## AMT_CREDIT 0.0030012181 -0.041684090 6.832818e-03
## AMT_ANNUITY 0.0078036724 0.013615355 -2.724847e-02
## AMT_GOODS_PRICE 0.0040720736 -0.042599110 4.842403e-03
## REGION_POPULATION_RELATIVE -0.0293473669 0.174766916 7.593897e-02
## DAYS_REGISTRATION -0.0595782699 -0.020886355 4.143500e-02
## OWN_CAR_AGE 0.0264799349 0.395512653 2.569405e-01
## CNT_FAM_MEMBERS 0.0269693738 0.034842826 1.300970e-01
## EXT_SOURCE_1 0.0334793564 0.012997174 5.490851e-02
## EXT_SOURCE_2 0.0158437795 0.260192292 1.340256e-01
## EXT_SOURCE_3 -0.1083520852 -0.288079639 9.677126e-02
## APARTMENTS_AVG 0.0011114319 -0.030245261 -1.390498e-02
## BASEMENTAREA_AVG -0.0192088131 0.196530846 1.323096e-01
## YEARS_BEGINEXPLUATATION_AVG -0.0094142667 0.006267861 9.549206e-03
## YEARS_BUILD_AVG 0.0135443275 -0.009903863 -2.413861e-02
## COMMONAREA_AVG -0.0033617731 -0.002502648 1.137670e-03
## ELEVATORS_AVG -0.0086536403 0.052904456 4.079695e-02
## ENTRANCES_AVG 0.0103991303 -0.143427041 -1.099735e-01
## FLOORSMAX_AVG -0.0064067913 0.058183578 2.575714e-02
## FLOORSMIN_AVG 0.0199310152 -0.108248525 -6.321801e-02
## LANDAREA_AVG -0.0016141575 0.072636643 1.495618e-02
## LIVINGAPARTMENTS_AVG -0.0019945560 -0.028432875 -8.144468e-03
## LIVINGAREA_AVG 0.0010081966 -0.015627754 -1.989122e-03
## NONLIVINGAPARTMENTS_AVG 0.0016025806 0.007541140 -2.479723e-03
## NONLIVINGAREA_AVG 0.0065858021 -0.022812356 -2.270129e-02
## APARTMENTS_MODE 0.0036469706 -0.047433541 -2.135322e-02
## BASEMENTAREA_MODE -0.0172662631 0.174021440 1.199771e-01
## YEARS_BEGINEXPLUATATION_MODE -0.0177008113 0.007993472 2.150403e-02
## YEARS_BUILD_MODE 0.0177502040 -0.014330395 -2.712394e-02
## COMMONAREA_MODE -0.0035196418 -0.015821720 5.651875e-04
## ELEVATORS_MODE -0.0074538337 0.035387435 3.342864e-02
## ENTRANCES_MODE 0.0102180690 -0.155779313 -1.168468e-01
## FLOORSMAX_MODE -0.0060851519 0.050561766 2.175619e-02
## FLOORSMIN_MODE 0.0237633866 -0.117645082 -6.759310e-02
## LANDAREA_MODE 0.0001595499 0.065933737 1.080452e-02
## LIVINGAPARTMENTS_MODE 0.0005929789 -0.040680887 -1.449787e-02
## LIVINGAREA_MODE 0.0050604961 -0.035692389 -1.172667e-02
## NONLIVINGAPARTMENTS_MODE 0.0103280289 0.003004766 5.564753e-05
## NONLIVINGAREA_MODE 0.0184467479 -0.044237514 -3.110044e-02
## APARTMENTS_MEDI 0.0006882012 -0.032798520 -1.589266e-02
## BASEMENTAREA_MEDI -0.0203814104 0.191235316 1.307336e-01
## YEARS_BEGINEXPLUATATION_MEDI -0.0011539746 0.005205445 -2.716022e-03
## YEARS_BUILD_MEDI 0.0140066902 -0.008488482 -2.404242e-02
## COMMONAREA_MEDI -0.0039080259 -0.002806741 1.380407e-03
## ELEVATORS_MEDI -0.0090112696 0.047859284 4.009903e-02
## ENTRANCES_MEDI 0.0089914439 -0.146889397 -1.112278e-01
## FLOORSMAX_MEDI -0.0068924469 0.057892293 2.614053e-02
## FLOORSMIN_MEDI 0.0207368607 -0.110583215 -6.283326e-02
## LANDAREA_MEDI -0.0017701391 0.071290231 1.319268e-02
## LIVINGAPARTMENTS_MEDI -0.0021085910 -0.030502314 -9.432715e-03
## LIVINGAREA_MEDI 0.0007068028 -0.018900652 -2.536097e-03
## NONLIVINGAPARTMENTS_MEDI 0.0028119127 0.008757865 -4.959361e-03
## NONLIVINGAREA_MEDI 0.0136813515 -0.022815602 -2.198799e-02
## TOTALAREA_MODE -0.0010525416 -0.013315508 -9.109702e-03
## OBS_30_CNT_SOCIAL_CIRCLE -0.0149872057 0.013990312 -7.605902e-03
## DEF_30_CNT_SOCIAL_CIRCLE 0.0089097081 0.004524133 3.041050e-02
## OBS_60_CNT_SOCIAL_CIRCLE -0.0148498553 0.013797680 -8.489806e-03
## DEF_60_CNT_SOCIAL_CIRCLE 0.0064086620 0.009904852 3.330823e-02
## DAYS_LAST_PHONE_CHANGE -0.0787338945 -0.025676543 2.348712e-01
## AMT_REQ_CREDIT_BUREAU_HOUR -0.6644213557 0.195828886 -3.451255e-01
## AMT_REQ_CREDIT_BUREAU_DAY -0.0710934851 -0.082414429 1.559018e-01
## AMT_REQ_CREDIT_BUREAU_WEEK 0.5420872683 -0.113019884 2.616861e-01
## AMT_REQ_CREDIT_BUREAU_MON -0.2683816349 -0.555121048 2.605974e-01
## AMT_REQ_CREDIT_BUREAU_QRT -0.3902656474 -0.057233780 6.028742e-01
## AMT_REQ_CREDIT_BUREAU_YEAR 0.0655798669 -0.089803508 -2.376961e-01
## PC22 PC23 PC24
## AMT_INCOME_TOTAL -0.137669141 0.0860859170 1.291757e-01
## AMT_CREDIT 0.033499874 -0.0032679589 -4.879229e-02
## AMT_ANNUITY 0.017196262 0.0182960318 2.312351e-02
## AMT_GOODS_PRICE 0.029756244 -0.0003951573 -4.655689e-02
## REGION_POPULATION_RELATIVE -0.120142059 -0.0395959298 1.490669e-01
## DAYS_REGISTRATION -0.158934666 0.3533889289 4.700522e-01
## OWN_CAR_AGE -0.329900102 -0.1038789123 2.729487e-01
## CNT_FAM_MEMBERS 0.147129996 -0.4918429677 -1.507923e-01
## EXT_SOURCE_1 -0.017647090 -0.4955426565 1.939515e-01
## EXT_SOURCE_2 -0.357304741 0.1763889498 5.232072e-02
## EXT_SOURCE_3 0.197307948 0.2416017556 4.083621e-01
## APARTMENTS_AVG -0.017721639 0.0034313507 2.394212e-03
## BASEMENTAREA_AVG 0.285887837 0.0745720804 3.990940e-02
## YEARS_BEGINEXPLUATATION_AVG 0.060999601 0.0233458093 1.954520e-02
## YEARS_BUILD_AVG -0.117804383 -0.0643027611 -4.144737e-02
## COMMONAREA_AVG -0.006752563 0.0014414963 -1.366589e-02
## ELEVATORS_AVG 0.080110521 -0.0055589905 -5.417805e-06
## ENTRANCES_AVG -0.276895671 -0.0528669868 5.470028e-03
## FLOORSMAX_AVG 0.038671552 -0.0161386554 7.156340e-03
## FLOORSMIN_AVG -0.067243264 0.0300434737 -6.732796e-03
## LANDAREA_AVG 0.023230841 0.0010699081 1.385639e-02
## LIVINGAPARTMENTS_AVG -0.009156978 0.0064378969 -8.240293e-03
## LIVINGAREA_AVG -0.010922802 -0.0116773075 -6.768598e-04
## NONLIVINGAPARTMENTS_AVG -0.007295507 -0.0013157377 8.341407e-03
## NONLIVINGAREA_AVG -0.033047311 -0.0135079261 -2.452856e-02
## APARTMENTS_MODE -0.016759188 0.0039592589 -6.772518e-03
## BASEMENTAREA_MODE 0.277567417 0.0782716870 2.836813e-02
## YEARS_BEGINEXPLUATATION_MODE 0.125188300 0.0550037085 3.717596e-02
## YEARS_BUILD_MODE -0.117569220 -0.0637101484 -4.420876e-02
## COMMONAREA_MODE -0.004735317 0.0002020627 -1.911217e-02
## ELEVATORS_MODE 0.080481940 -0.0029691002 -7.323310e-03
## ENTRANCES_MODE -0.275073922 -0.0526133526 1.819744e-03
## FLOORSMAX_MODE 0.039894026 -0.0161078144 2.303424e-03
## FLOORSMIN_MODE -0.067441328 0.0292798374 -1.283996e-02
## LANDAREA_MODE 0.023719212 0.0023535010 7.718862e-03
## LIVINGAPARTMENTS_MODE -0.006055129 0.0063790172 -1.805363e-02
## LIVINGAREA_MODE -0.014386304 -0.0090704305 -9.585502e-03
## NONLIVINGAPARTMENTS_MODE -0.004498841 -0.0013957333 3.029198e-04
## NONLIVINGAREA_MODE -0.037782269 -0.0079156337 -3.859535e-02
## APARTMENTS_MEDI -0.017176166 0.0036575181 9.387048e-04
## BASEMENTAREA_MEDI 0.282131403 0.0753025880 3.586464e-02
## YEARS_BEGINEXPLUATATION_MEDI 0.010627129 0.0043382565 1.138275e-02
## YEARS_BUILD_MEDI -0.117840000 -0.0627957663 -4.201350e-02
## COMMONAREA_MEDI -0.006856101 0.0018658497 -1.299652e-02
## ELEVATORS_MEDI 0.080109746 -0.0045664561 -1.316763e-03
## ENTRANCES_MEDI -0.277213528 -0.0523997857 6.154124e-03
## FLOORSMAX_MEDI 0.038846018 -0.0159207601 5.496269e-03
## FLOORSMIN_MEDI -0.067339879 0.0301642242 -8.166605e-03
## LANDAREA_MEDI 0.022310709 -0.0002865952 1.302523e-02
## LIVINGAPARTMENTS_MEDI -0.008091756 0.0055410025 -1.035404e-02
## LIVINGAREA_MEDI -0.010945699 -0.0105951653 -2.124178e-03
## NONLIVINGAPARTMENTS_MEDI -0.005662585 -0.0030573387 4.598345e-03
## NONLIVINGAREA_MEDI -0.030450886 -0.0068117983 -2.901792e-02
## TOTALAREA_MODE -0.010593712 -0.0138778744 1.943198e-03
## OBS_30_CNT_SOCIAL_CIRCLE -0.020052693 -0.0029080920 -1.913307e-03
## DEF_30_CNT_SOCIAL_CIRCLE 0.004724471 -0.0057200570 -4.639830e-04
## OBS_60_CNT_SOCIAL_CIRCLE -0.020010929 -0.0029386027 -9.487462e-04
## DEF_60_CNT_SOCIAL_CIRCLE 0.016526299 0.0015099918 1.835194e-04
## DAYS_LAST_PHONE_CHANGE -0.026726236 -0.3827851766 3.561023e-01
## AMT_REQ_CREDIT_BUREAU_HOUR -0.028781768 -0.1298293553 1.458750e-02
## AMT_REQ_CREDIT_BUREAU_DAY 0.019881739 0.1658245484 -3.994783e-02
## AMT_REQ_CREDIT_BUREAU_WEEK -0.054970907 -0.0273362447 1.924921e-02
## AMT_REQ_CREDIT_BUREAU_MON 0.025788222 -0.0814340167 6.426925e-02
## AMT_REQ_CREDIT_BUREAU_QRT -0.169822093 0.0446832324 -2.063498e-01
## AMT_REQ_CREDIT_BUREAU_YEAR 0.181746436 -0.1784611368 4.885470e-01
## PC25 PC26 PC27
## AMT_INCOME_TOTAL 0.0557374175 -0.2425033850 0.683307928
## AMT_CREDIT -0.0170867143 0.0412974170 -0.178651166
## AMT_ANNUITY -0.0086141378 -0.0468403633 -0.017181695
## AMT_GOODS_PRICE -0.0137442065 0.0459722891 -0.172011471
## REGION_POPULATION_RELATIVE -0.2047883543 -0.1361350444 0.033805763
## DAYS_REGISTRATION 0.2124132081 0.4448043767 -0.025116124
## OWN_CAR_AGE -0.0294211566 -0.0620749493 0.137732438
## CNT_FAM_MEMBERS -0.1534594870 -0.1356716479 0.104661701
## EXT_SOURCE_1 0.1932894797 0.5826665868 0.185167977
## EXT_SOURCE_2 -0.1277369208 -0.1026350690 -0.481348955
## EXT_SOURCE_3 -0.0238609852 -0.3518789552 0.156697477
## APARTMENTS_AVG 0.0092141122 0.0144332446 -0.022880359
## BASEMENTAREA_AVG 0.0431451628 0.0096833082 -0.010289722
## YEARS_BEGINEXPLUATATION_AVG 0.0111582926 0.0199944916 -0.010467220
## YEARS_BUILD_AVG -0.0471652676 -0.0693064796 0.005896027
## COMMONAREA_AVG 0.0013807614 0.0027271285 -0.002294731
## ELEVATORS_AVG -0.0117525984 -0.0134600049 0.005578145
## ENTRANCES_AVG -0.0515944747 -0.0377656057 0.039518724
## FLOORSMAX_AVG -0.0166074392 -0.0284377284 0.025245646
## FLOORSMIN_AVG 0.0210299623 0.0358734868 -0.004434218
## LANDAREA_AVG -0.0214543574 -0.0112220906 0.007261326
## LIVINGAPARTMENTS_AVG 0.0169090899 0.0217462769 -0.028389247
## LIVINGAREA_AVG -0.0054689456 0.0125721454 0.007077327
## NONLIVINGAPARTMENTS_AVG -0.0038871679 -0.0026364626 0.008781061
## NONLIVINGAREA_AVG -0.0166752898 -0.0196076584 -0.013236137
## APARTMENTS_MODE 0.0199915074 0.0173170767 -0.023322058
## BASEMENTAREA_MODE 0.0532082089 0.0180329823 -0.012727470
## YEARS_BEGINEXPLUATATION_MODE 0.0360279833 0.0517097937 -0.014473116
## YEARS_BUILD_MODE -0.0445265511 -0.0697767910 0.005362438
## COMMONAREA_MODE 0.0084238859 0.0057965785 -0.006917373
## ELEVATORS_MODE -0.0006562181 -0.0054631728 0.001116504
## ENTRANCES_MODE -0.0416314984 -0.0313211724 0.035029310
## FLOORSMAX_MODE -0.0121908308 -0.0290688411 0.023305884
## FLOORSMIN_MODE 0.0243141082 0.0345717884 -0.005265566
## LANDAREA_MODE -0.0190514981 -0.0071180316 0.008351785
## LIVINGAPARTMENTS_MODE 0.0249953254 0.0229751906 -0.025649646
## LIVINGAREA_MODE 0.0073813578 0.0157586147 0.004365278
## NONLIVINGAPARTMENTS_MODE -0.0050041527 0.0005644988 0.013192468
## NONLIVINGAREA_MODE -0.0102275183 -0.0110633644 -0.016872989
## APARTMENTS_MEDI 0.0110370548 0.0158827937 -0.022319549
## BASEMENTAREA_MEDI 0.0457682384 0.0128611754 -0.013219058
## YEARS_BEGINEXPLUATATION_MEDI -0.0094465036 -0.0073278937 -0.008813990
## YEARS_BUILD_MEDI -0.0474496287 -0.0703701898 0.006423328
## COMMONAREA_MEDI 0.0012731638 0.0031072513 -0.003853557
## ELEVATORS_MEDI -0.0094437231 -0.0098551497 0.001765676
## ENTRANCES_MEDI -0.0494948538 -0.0349943182 0.036900330
## FLOORSMAX_MEDI -0.0146728874 -0.0281798807 0.026136481
## FLOORSMIN_MEDI 0.0219184004 0.0352569080 -0.005243391
## LANDAREA_MEDI -0.0208689266 -0.0095959387 0.007189765
## LIVINGAPARTMENTS_MEDI 0.0186370516 0.0234748940 -0.027489795
## LIVINGAREA_MEDI -0.0039621222 0.0148504236 0.004818277
## NONLIVINGAPARTMENTS_MEDI -0.0032778213 -0.0017947395 0.010346538
## NONLIVINGAREA_MEDI -0.0146861559 -0.0143408879 -0.014946472
## TOTALAREA_MODE 0.0059552150 0.0087161101 0.002995300
## OBS_30_CNT_SOCIAL_CIRCLE -0.0204527784 0.0045699211 0.020617008
## DEF_30_CNT_SOCIAL_CIRCLE 0.0057506210 -0.0288658782 0.014929846
## OBS_60_CNT_SOCIAL_CIRCLE -0.0202867780 0.0034403421 0.019767116
## DEF_60_CNT_SOCIAL_CIRCLE 0.0145508851 -0.0243294794 0.013169190
## DAYS_LAST_PHONE_CHANGE -0.1273198375 -0.1298573609 -0.245248703
## AMT_REQ_CREDIT_BUREAU_HOUR 0.3454505480 -0.1552870640 -0.109814325
## AMT_REQ_CREDIT_BUREAU_DAY -0.6129425622 0.2599856109 0.149634762
## AMT_REQ_CREDIT_BUREAU_WEEK 0.4816203022 -0.2395036922 -0.075824332
## AMT_REQ_CREDIT_BUREAU_MON 0.0686668001 -0.0513535812 0.005030787
## AMT_REQ_CREDIT_BUREAU_QRT 0.1150964867 -0.0245199242 0.064968031
## AMT_REQ_CREDIT_BUREAU_YEAR -0.2010268190 -0.1398140961 -0.176102105
## PC28 PC29 PC30
## AMT_INCOME_TOTAL -3.783615e-01 2.656014e-02 -0.0412691275
## AMT_CREDIT 6.509657e-02 -8.988103e-03 0.0090584729
## AMT_ANNUITY 2.497016e-02 5.351822e-04 -0.0187473617
## AMT_GOODS_PRICE 6.076444e-02 -6.461330e-03 0.0104016894
## REGION_POPULATION_RELATIVE 7.013565e-01 1.416595e-01 -0.2804919838
## DAYS_REGISTRATION 1.136101e-01 -4.515228e-02 0.0182928458
## OWN_CAR_AGE 8.503470e-03 5.559993e-03 0.0035165968
## CNT_FAM_MEMBERS -4.626359e-02 3.595057e-02 -0.0131854007
## EXT_SOURCE_1 -3.199103e-02 1.135361e-02 -0.0277562478
## EXT_SOURCE_2 -3.941598e-01 -1.812388e-02 0.0333495826
## EXT_SOURCE_3 6.496224e-02 1.841133e-02 -0.0006655673
## APARTMENTS_AVG -1.450989e-02 1.880844e-01 -0.0405057462
## BASEMENTAREA_AVG -2.294612e-02 2.595602e-02 -0.0264320622
## YEARS_BEGINEXPLUATATION_AVG -2.559011e-03 7.850741e-03 0.0136130535
## YEARS_BUILD_AVG 4.960926e-02 -2.124385e-03 -0.1280653240
## COMMONAREA_AVG -6.086084e-03 -7.328957e-03 -0.0015572566
## ELEVATORS_AVG 3.179446e-02 -3.796891e-01 -0.1129510678
## ENTRANCES_AVG 9.095763e-02 -7.731454e-02 0.1504276944
## FLOORSMAX_AVG 8.842346e-02 6.171174e-02 0.4389146285
## FLOORSMIN_AVG -9.237608e-02 -1.355336e-02 -0.1695370946
## LANDAREA_AVG 4.095608e-02 1.167927e-02 -0.0187092379
## LIVINGAPARTMENTS_AVG -4.926565e-02 3.537810e-01 -0.1091174117
## LIVINGAREA_AVG -1.805304e-02 -1.021337e-01 0.0222552499
## NONLIVINGAPARTMENTS_AVG 1.017185e-02 -7.517927e-03 0.0046775792
## NONLIVINGAREA_AVG 2.233985e-02 -1.286688e-02 -0.0263508353
## APARTMENTS_MODE -4.044374e-02 1.682179e-01 -0.0308554286
## BASEMENTAREA_MODE -4.739206e-02 1.912943e-02 -0.0140615864
## YEARS_BEGINEXPLUATATION_MODE -2.542923e-02 1.042549e-02 0.0836084603
## YEARS_BUILD_MODE 4.662651e-02 -3.900856e-03 -0.1274592296
## COMMONAREA_MODE -3.308771e-02 -1.175528e-02 -0.0023488890
## ELEVATORS_MODE 4.867859e-03 -4.000498e-01 -0.1159976385
## ENTRANCES_MODE 7.537207e-02 -9.687407e-02 0.1550618131
## FLOORSMAX_MODE 7.843438e-02 5.401688e-02 0.4645417996
## FLOORSMIN_MODE -1.070611e-01 -1.597728e-02 -0.1813453089
## LANDAREA_MODE 3.934206e-02 3.350220e-03 -0.0193195178
## LIVINGAPARTMENTS_MODE -7.205316e-02 3.220319e-01 -0.0989148614
## LIVINGAREA_MODE -4.248098e-02 -1.146040e-01 0.0261546742
## NONLIVINGAPARTMENTS_MODE -9.808132e-06 -2.562986e-02 0.0053915083
## NONLIVINGAREA_MODE -1.125179e-03 -1.578355e-02 -0.0189761966
## APARTMENTS_MEDI -2.005445e-02 1.757283e-01 -0.0394075455
## BASEMENTAREA_MEDI -2.708845e-02 2.698798e-02 -0.0280584571
## YEARS_BEGINEXPLUATATION_MEDI 1.070626e-02 -2.884699e-03 -0.0538834050
## YEARS_BUILD_MEDI 4.997521e-02 -3.610351e-03 -0.1267554602
## COMMONAREA_MEDI -8.418798e-03 -7.565234e-03 -0.0023541069
## ELEVATORS_MEDI 2.516484e-02 -3.886553e-01 -0.1151104911
## ENTRANCES_MEDI 8.797804e-02 -8.440841e-02 0.1497653396
## FLOORSMAX_MEDI 8.762433e-02 5.943582e-02 0.4491332081
## FLOORSMIN_MEDI -9.604351e-02 -1.344447e-02 -0.1714415172
## LANDAREA_MEDI 3.757335e-02 9.184742e-03 -0.0222771283
## LIVINGAPARTMENTS_MEDI -5.647715e-02 3.400930e-01 -0.1086017594
## LIVINGAREA_MEDI -2.206649e-02 -1.085179e-01 0.0203034443
## NONLIVINGAPARTMENTS_MEDI 6.407875e-03 -1.787542e-02 0.0085261664
## NONLIVINGAREA_MEDI 1.583150e-02 -2.043571e-02 -0.0285592266
## TOTALAREA_MODE -1.634184e-02 -8.280358e-02 0.0556805061
## OBS_30_CNT_SOCIAL_CIRCLE -1.981516e-03 6.108116e-05 -0.0004900372
## DEF_30_CNT_SOCIAL_CIRCLE -1.255249e-02 3.726578e-03 0.0040064697
## OBS_60_CNT_SOCIAL_CIRCLE -1.502858e-03 -3.725939e-04 -0.0013390878
## DEF_60_CNT_SOCIAL_CIRCLE -1.280944e-02 -1.098418e-02 0.0107041410
## DAYS_LAST_PHONE_CHANGE -2.165539e-01 -1.029088e-02 0.0063632638
## AMT_REQ_CREDIT_BUREAU_HOUR 2.871621e-02 -1.278760e-02 -0.0240138168
## AMT_REQ_CREDIT_BUREAU_DAY -7.735103e-02 1.429761e-03 -0.0010091962
## AMT_REQ_CREDIT_BUREAU_WEEK 8.740177e-02 -1.377925e-02 -0.0091550353
## AMT_REQ_CREDIT_BUREAU_MON -7.570030e-02 -7.352430e-03 0.0020579633
## AMT_REQ_CREDIT_BUREAU_QRT 4.806677e-02 8.227737e-03 -0.0073642961
## AMT_REQ_CREDIT_BUREAU_YEAR -5.135805e-02 -5.035454e-04 0.0018751228
## PC31 PC32 PC33
## AMT_INCOME_TOTAL 1.612496e-01 -0.0026964000 -0.0055076264
## AMT_CREDIT 3.563175e-01 0.0224848266 0.0143229776
## AMT_ANNUITY -8.478814e-01 -0.0489338726 -0.0253222841
## AMT_GOODS_PRICE 3.413459e-01 0.0205826816 0.0139335546
## REGION_POPULATION_RELATIVE 3.854499e-02 0.0504494834 -0.1139070966
## DAYS_REGISTRATION 7.008327e-03 -0.0238650411 0.0150986616
## OWN_CAR_AGE 7.674482e-03 -0.0012728194 -0.0032359371
## CNT_FAM_MEMBERS 5.782456e-03 -0.0015320463 0.0062968158
## EXT_SOURCE_1 -2.246643e-02 -0.0178401304 -0.0034273006
## EXT_SOURCE_2 -1.728787e-02 -0.0106017071 -0.0100197374
## EXT_SOURCE_3 1.504708e-02 0.0059110086 0.0015095668
## APARTMENTS_AVG 4.583090e-04 0.0705116555 -0.0161955850
## BASEMENTAREA_AVG -8.572388e-03 0.0691559754 0.1299579789
## YEARS_BEGINEXPLUATATION_AVG 5.429747e-03 -0.0047421704 0.0038363599
## YEARS_BUILD_AVG -1.507428e-03 -0.0100947480 -0.0196628321
## COMMONAREA_AVG -3.970379e-03 0.0362294561 0.0640925305
## ELEVATORS_AVG 6.546075e-03 -0.1439092498 0.2345392220
## ENTRANCES_AVG -9.347159e-03 -0.0218709785 0.1832847913
## FLOORSMAX_AVG -1.133168e-03 -0.0311757778 0.0837918525
## FLOORSMIN_AVG -1.686574e-04 0.0391162025 0.0371741390
## LANDAREA_AVG 3.242020e-03 0.0284640056 0.0662832598
## LIVINGAPARTMENTS_AVG -6.576395e-03 -0.0833623487 0.2889730856
## LIVINGAREA_AVG -2.279282e-02 0.3738909763 -0.0761378336
## NONLIVINGAPARTMENTS_AVG 3.186410e-03 0.0140549298 0.0548669784
## NONLIVINGAREA_AVG -1.131905e-02 0.0684924745 0.1475783546
## APARTMENTS_MODE 1.993650e-02 -0.1107515237 -0.3724998752
## BASEMENTAREA_MODE 1.360408e-02 -0.1396934542 -0.2369656383
## YEARS_BEGINEXPLUATATION_MODE 1.696092e-02 -0.1223491062 -0.1249957068
## YEARS_BUILD_MODE 3.635451e-03 -0.0812451366 -0.1144880348
## COMMONAREA_MODE 7.173344e-03 -0.0724437368 -0.1317145508
## ELEVATORS_MODE 2.565905e-02 -0.3335678777 -0.0419247039
## ENTRANCES_MODE 1.231500e-02 -0.2047609093 -0.1045504693
## FLOORSMAX_MODE 4.274324e-03 -0.1370599936 -0.0582331281
## FLOORSMIN_MODE 2.339170e-03 -0.0366939981 -0.0645858458
## LANDAREA_MODE 1.340991e-02 -0.0562054031 -0.1086482770
## LIVINGAPARTMENTS_MODE 1.096855e-02 -0.2410331495 -0.0228361901
## LIVINGAREA_MODE 9.145375e-04 0.1652983983 -0.4542895985
## NONLIVINGAPARTMENTS_MODE 5.592005e-03 -0.0280362695 -0.0522167274
## NONLIVINGAREA_MODE 7.908414e-03 -0.1683785162 -0.2113428938
## APARTMENTS_MEDI 5.265227e-03 0.0370844026 -0.0620951814
## BASEMENTAREA_MEDI -9.444048e-03 0.0472679693 0.0835857043
## YEARS_BEGINEXPLUATATION_MEDI -1.349790e-02 0.1893587671 0.2093184959
## YEARS_BUILD_MEDI -3.196004e-03 -0.0096613125 -0.0181702320
## COMMONAREA_MEDI -3.487802e-03 0.0266633426 0.0556792263
## ELEVATORS_MEDI 7.962749e-03 -0.1694524815 0.2038639857
## ENTRANCES_MEDI -5.984177e-03 -0.0492040551 0.1543226348
## FLOORSMAX_MEDI -1.016239e-03 -0.0415144685 0.0731980806
## FLOORSMIN_MEDI -8.937681e-05 0.0307699996 0.0312093701
## LANDAREA_MEDI 4.674091e-03 0.0204410968 0.0492607965
## LIVINGAPARTMENTS_MEDI -2.553772e-03 -0.0993582161 0.2612433736
## LIVINGAREA_MEDI -2.076213e-02 0.3549732910 -0.0955673545
## NONLIVINGAPARTMENTS_MEDI 6.808887e-03 0.0091484008 0.0163301522
## NONLIVINGAREA_MEDI -1.096226e-02 0.0265666906 0.0751433638
## TOTALAREA_MODE -2.723220e-02 0.4916561726 0.0130819629
## OBS_30_CNT_SOCIAL_CIRCLE -5.946657e-03 0.0042488864 -0.0002193924
## DEF_30_CNT_SOCIAL_CIRCLE 7.004440e-03 -0.0366420426 0.0485965345
## OBS_60_CNT_SOCIAL_CIRCLE -6.179916e-03 0.0033982097 -0.0011522973
## DEF_60_CNT_SOCIAL_CIRCLE -1.517150e-03 0.0382002727 -0.0540063737
## DAYS_LAST_PHONE_CHANGE -3.791763e-03 -0.0096906359 -0.0048959704
## AMT_REQ_CREDIT_BUREAU_HOUR 1.137143e-02 0.0010683210 -0.0070378612
## AMT_REQ_CREDIT_BUREAU_DAY -8.272961e-03 -0.0165319780 -0.0014709719
## AMT_REQ_CREDIT_BUREAU_WEEK 9.578963e-03 -0.0008930154 0.0050569473
## AMT_REQ_CREDIT_BUREAU_MON -2.927279e-02 0.0034032835 -0.0012751316
## AMT_REQ_CREDIT_BUREAU_QRT 9.910192e-03 0.0015422741 0.0000129755
## AMT_REQ_CREDIT_BUREAU_YEAR 5.155897e-02 -0.0041100591 0.0019141286
## PC34 PC35 PC36
## AMT_INCOME_TOTAL 0.0021216597 0.0054131823 -0.0115322333
## AMT_CREDIT -0.0028870143 -0.0007126370 0.0058621775
## AMT_ANNUITY 0.0016264600 -0.0038809824 -0.0064597177
## AMT_GOODS_PRICE 0.0032896044 0.0027765403 0.0046454792
## REGION_POPULATION_RELATIVE 0.0008311490 -0.0063571137 0.0495122579
## DAYS_REGISTRATION 0.0018894100 -0.0049419969 0.0029033118
## OWN_CAR_AGE -0.0032019696 -0.0059887116 0.0020830859
## CNT_FAM_MEMBERS 0.0054262125 0.0011102877 -0.0136976031
## EXT_SOURCE_1 0.0070553255 0.0046384138 -0.0068154857
## EXT_SOURCE_2 -0.0001272521 0.0033743691 -0.0029497574
## EXT_SOURCE_3 -0.0003915456 0.0005938185 0.0053555612
## APARTMENTS_AVG 0.0115290426 0.0323579381 -0.4691637137
## BASEMENTAREA_AVG -0.0471496710 -0.0006247899 -0.0830187537
## YEARS_BEGINEXPLUATATION_AVG -0.0727277281 -0.0047742228 -0.0043251652
## YEARS_BUILD_AVG -0.1346776288 -0.0041592027 -0.0267281634
## COMMONAREA_AVG -0.0217445604 0.0045407547 -0.0530350876
## ELEVATORS_AVG -0.0357350660 0.0234280454 -0.0574456961
## ENTRANCES_AVG -0.0385939582 0.0117552600 -0.0291353562
## FLOORSMAX_AVG 0.0007971093 0.0121148666 -0.0047539139
## FLOORSMIN_AVG -0.0225810295 0.0048882113 -0.0229878358
## LANDAREA_AVG -0.0186810818 0.0053234339 -0.0187109126
## LIVINGAPARTMENTS_AVG -0.0780653927 0.0087239195 0.2397819509
## LIVINGAREA_AVG -0.0759330848 -0.0414423274 0.1434219330
## NONLIVINGAPARTMENTS_AVG -0.0211431548 0.0083612849 -0.0036083217
## NONLIVINGAREA_AVG -0.0590640380 0.0127423909 -0.0781245538
## APARTMENTS_MODE 0.1624672849 0.0159888878 -0.3694968291
## BASEMENTAREA_MODE 0.0911247652 -0.0140493736 0.1103370753
## YEARS_BEGINEXPLUATATION_MODE -0.4424292921 -0.0242573205 -0.0186908653
## YEARS_BUILD_MODE -0.1250154919 -0.0082723949 0.0145265634
## COMMONAREA_MODE 0.0470643985 -0.0060334772 0.0749815938
## ELEVATORS_MODE 0.0904435288 0.0130554505 0.0416911933
## ENTRANCES_MODE 0.0751812906 0.0101725272 0.0559108878
## FLOORSMAX_MODE 0.0581412024 -0.0041518658 0.0392523872
## FLOORSMIN_MODE 0.0151548479 -0.0057179221 0.0252298759
## LANDAREA_MODE 0.0368874142 -0.0095152098 0.0397521552
## LIVINGAPARTMENTS_MODE 0.0459759456 -0.0051306201 0.3091791845
## LIVINGAREA_MODE 0.0688555544 -0.0604556824 0.2686941022
## NONLIVINGAPARTMENTS_MODE 0.0203320932 -0.0076003502 0.0460978293
## NONLIVINGAREA_MODE 0.0974196827 -0.0130259174 0.1266702239
## APARTMENTS_MEDI 0.0396201063 0.0330496604 -0.4712755408
## BASEMENTAREA_MEDI -0.0279587439 0.0061964643 -0.0476584028
## YEARS_BEGINEXPLUATATION_MEDI 0.7869763409 0.0403060259 0.0597651390
## YEARS_BUILD_MEDI -0.1280514801 -0.0064045030 -0.0274618825
## COMMONAREA_MEDI -0.0164056162 0.0045289395 -0.0489562667
## ELEVATORS_MEDI -0.0190884804 0.0240561776 -0.0635241403
## ENTRANCES_MEDI -0.0247269538 0.0181801255 -0.0348388866
## FLOORSMAX_MEDI 0.0143817287 0.0078542014 -0.0031655642
## FLOORSMIN_MEDI -0.0162928250 0.0037163054 -0.0207199748
## LANDAREA_MEDI -0.0159017555 0.0038529084 -0.0196560551
## LIVINGAPARTMENTS_MEDI -0.0648173149 0.0073975144 0.2412640965
## LIVINGAREA_MEDI -0.0638909185 -0.0387000652 0.1348139245
## NONLIVINGAPARTMENTS_MEDI -0.0076923911 0.0026871153 0.0165101147
## NONLIVINGAREA_MEDI -0.0257979914 0.0028794568 -0.0502852497
## TOTALAREA_MODE -0.1367439353 -0.0379745345 0.0774302422
## OBS_30_CNT_SOCIAL_CIRCLE -0.0039680003 0.0321124514 0.0011573257
## DEF_30_CNT_SOCIAL_CIRCLE 0.0369518225 -0.7096937887 -0.0558447189
## OBS_60_CNT_SOCIAL_CIRCLE -0.0033836706 0.0288080502 0.0031239211
## DEF_60_CNT_SOCIAL_CIRCLE -0.0330987946 0.6913076182 0.0463923907
## DAYS_LAST_PHONE_CHANGE 0.0016590092 0.0057758167 -0.0008224476
## AMT_REQ_CREDIT_BUREAU_HOUR 0.0027706304 -0.0039102130 0.0025369040
## AMT_REQ_CREDIT_BUREAU_DAY 0.0030696878 0.0022756586 -0.0085041170
## AMT_REQ_CREDIT_BUREAU_WEEK 0.0001562392 0.0015018288 0.0021339220
## AMT_REQ_CREDIT_BUREAU_MON 0.0025724714 -0.0019304464 0.0001447753
## AMT_REQ_CREDIT_BUREAU_QRT 0.0010282016 0.0018633868 -0.0040995337
## AMT_REQ_CREDIT_BUREAU_YEAR -0.0089423866 0.0007848400 0.0072252532
## PC37 PC38 PC39
## AMT_INCOME_TOTAL 0.0004367189 2.291810e-03 -1.676298e-03
## AMT_CREDIT -0.0001755960 -5.124450e-03 -8.838473e-04
## AMT_ANNUITY 0.0025871367 -2.391780e-03 -6.543551e-05
## AMT_GOODS_PRICE -0.0047561430 4.339528e-03 5.459273e-03
## REGION_POPULATION_RELATIVE 0.0129248038 -5.233935e-03 8.115950e-03
## DAYS_REGISTRATION -0.0031125436 5.392067e-04 3.335858e-03
## OWN_CAR_AGE 0.0003474362 1.586688e-03 -1.143788e-03
## CNT_FAM_MEMBERS -0.0003097445 3.714194e-03 -1.508292e-03
## EXT_SOURCE_1 0.0030460923 3.572032e-04 -9.159325e-04
## EXT_SOURCE_2 0.0041655304 -4.612788e-04 -3.272190e-04
## EXT_SOURCE_3 0.0010007916 7.199443e-04 1.910579e-03
## APARTMENTS_AVG -0.0016455114 1.202712e-01 -1.899901e-01
## BASEMENTAREA_AVG -0.0552314468 -1.577337e-03 3.436808e-02
## YEARS_BEGINEXPLUATATION_AVG -0.0058767326 9.525304e-04 3.362576e-02
## YEARS_BUILD_AVG -0.0020057318 1.683335e-02 2.031584e-02
## COMMONAREA_AVG -0.0409237620 6.166725e-02 -6.441175e-02
## ELEVATORS_AVG 0.0383425256 6.463983e-02 -1.707257e-02
## ENTRANCES_AVG 0.0076787150 9.728785e-02 3.176761e-02
## FLOORSMAX_AVG -0.0237283625 3.953005e-03 6.712241e-02
## FLOORSMIN_AVG -0.0035092736 2.836543e-02 3.153995e-02
## LANDAREA_AVG -0.0306259422 4.209131e-02 1.068717e-01
## LIVINGAPARTMENTS_AVG 0.0071909756 8.368615e-02 -3.283308e-01
## LIVINGAREA_AVG -0.3058385580 6.515980e-02 -1.943687e-02
## NONLIVINGAPARTMENTS_AVG -0.0233391164 -9.200296e-03 -5.050206e-01
## NONLIVINGAREA_AVG -0.0911380698 -4.809493e-01 -1.044219e-01
## APARTMENTS_MODE 0.0648522006 -1.913892e-01 5.846428e-02
## BASEMENTAREA_MODE 0.1200031966 4.770198e-02 -1.699133e-01
## YEARS_BEGINEXPLUATATION_MODE -0.0070379758 3.926728e-03 -1.501046e-02
## YEARS_BUILD_MODE 0.0056805918 -3.378552e-02 -5.441636e-02
## COMMONAREA_MODE 0.0535527408 -1.246004e-01 5.173073e-02
## ELEVATORS_MODE 0.0601872683 -1.400292e-01 -4.559864e-02
## ENTRANCES_MODE 0.0426863431 -2.182156e-01 -1.336485e-01
## FLOORSMAX_MODE 0.0224394837 -3.467749e-02 -1.484432e-01
## FLOORSMIN_MODE 0.0214317471 -4.723615e-02 -7.028026e-02
## LANDAREA_MODE 0.0455807288 -4.698276e-02 -1.655025e-01
## LIVINGAPARTMENTS_MODE 0.0508159287 -2.110094e-01 3.207039e-01
## LIVINGAREA_MODE -0.1975683924 -4.276612e-02 -7.021696e-02
## NONLIVINGAPARTMENTS_MODE 0.0370019496 2.038011e-02 5.198106e-01
## NONLIVINGAREA_MODE 0.1540918687 6.757502e-01 5.974485e-05
## APARTMENTS_MEDI -0.0454707960 1.360135e-01 1.169438e-01
## BASEMENTAREA_MEDI -0.0591514328 -3.364046e-02 1.291700e-01
## YEARS_BEGINEXPLUATATION_MEDI 0.0065930581 -6.301891e-03 -1.967734e-02
## YEARS_BUILD_MEDI -0.0050320987 2.242046e-02 3.007188e-02
## COMMONAREA_MEDI -0.0509629680 6.319457e-02 4.371869e-03
## ELEVATORS_MEDI -0.0080895126 6.555144e-02 5.897591e-02
## ENTRANCES_MEDI -0.0343023012 1.084260e-01 1.092042e-01
## FLOORSMAX_MEDI -0.0286375915 2.504074e-02 9.267890e-02
## FLOORSMIN_MEDI -0.0076423096 2.567498e-02 4.084825e-02
## LANDAREA_MEDI -0.0225830860 1.152057e-02 5.290191e-02
## LIVINGAPARTMENTS_MEDI -0.0273555771 4.774456e-02 4.875483e-02
## LIVINGAREA_MEDI -0.3537326751 7.179180e-02 4.423103e-02
## NONLIVINGAPARTMENTS_MEDI -0.0072024245 -2.292910e-02 -6.100487e-03
## NONLIVINGAREA_MEDI -0.1151104033 -1.810506e-01 9.599523e-02
## TOTALAREA_MODE 0.8015890724 -9.017252e-02 1.865150e-02
## OBS_30_CNT_SOCIAL_CIRCLE 0.0010725510 -3.574813e-04 4.019455e-04
## DEF_30_CNT_SOCIAL_CIRCLE 0.0027137498 -2.436894e-03 -2.415872e-03
## OBS_60_CNT_SOCIAL_CIRCLE -0.0037808177 8.333649e-04 -3.000108e-04
## DEF_60_CNT_SOCIAL_CIRCLE 0.0020770832 2.938603e-03 2.408288e-03
## DAYS_LAST_PHONE_CHANGE -0.0001567280 1.241655e-03 2.350465e-03
## AMT_REQ_CREDIT_BUREAU_HOUR -0.0065778532 7.052871e-03 5.432789e-03
## AMT_REQ_CREDIT_BUREAU_DAY 0.0077973277 -3.237402e-03 -1.539353e-03
## AMT_REQ_CREDIT_BUREAU_WEEK -0.0039268777 -4.132701e-04 -1.019635e-03
## AMT_REQ_CREDIT_BUREAU_MON -0.0001282319 3.387377e-03 -1.110564e-03
## AMT_REQ_CREDIT_BUREAU_QRT 0.0024858709 -1.527234e-05 -1.154165e-03
## AMT_REQ_CREDIT_BUREAU_YEAR -0.0029013527 1.670402e-03 1.760938e-04
## PC40 PC41 PC42
## AMT_INCOME_TOTAL -0.0015799040 -2.101519e-03 -0.0004979304
## AMT_CREDIT -0.0076350756 -1.180263e-02 -0.0088879861
## AMT_ANNUITY 0.0046813497 -5.700995e-05 0.0015141118
## AMT_GOODS_PRICE 0.0062847567 1.225653e-02 0.0070996428
## REGION_POPULATION_RELATIVE -0.0059300527 5.660570e-03 -0.0068758821
## DAYS_REGISTRATION -0.0023130059 1.556856e-03 -0.0035230042
## OWN_CAR_AGE -0.0006419392 -1.056845e-03 0.0002901573
## CNT_FAM_MEMBERS 0.0033952149 -1.990261e-04 -0.0020977417
## EXT_SOURCE_1 -0.0012136771 -6.761068e-04 -0.0015875180
## EXT_SOURCE_2 -0.0008720475 -2.247838e-03 0.0011818098
## EXT_SOURCE_3 0.0011872773 -3.111479e-03 0.0005950297
## APARTMENTS_AVG 0.0137760422 2.771445e-03 -0.1304979153
## BASEMENTAREA_AVG -0.2457367669 3.164553e-01 0.2964314606
## YEARS_BEGINEXPLUATATION_AVG 0.1271414036 1.172848e-02 0.0551882404
## YEARS_BUILD_AVG 0.1434427156 2.874700e-02 0.0797686860
## COMMONAREA_AVG -0.0241321298 1.749442e-02 0.2401304125
## ELEVATORS_AVG 0.0346127044 -3.938409e-02 -0.0877536097
## ENTRANCES_AVG 0.0195390516 3.405065e-02 -0.1920230212
## FLOORSMAX_AVG 0.2882547582 -1.748648e-02 0.0664994275
## FLOORSMIN_AVG 0.2540321300 7.831437e-03 0.1060812471
## LANDAREA_AVG 0.0217211021 4.426716e-01 -0.1368747218
## LIVINGAPARTMENTS_AVG -0.0056105226 -2.458086e-02 0.0439777511
## LIVINGAREA_AVG -0.0687746911 1.764378e-02 -0.0363214723
## NONLIVINGAPARTMENTS_AVG 0.1266810069 1.879086e-01 -0.0875108736
## NONLIVINGAREA_AVG 0.0504280797 1.880778e-02 0.0166582627
## APARTMENTS_MODE 0.0202660993 9.850786e-02 0.1351994014
## BASEMENTAREA_MODE 0.2899629438 -2.376013e-01 -0.2319783552
## YEARS_BEGINEXPLUATATION_MODE -0.0745856778 -3.878047e-03 -0.0316368942
## YEARS_BUILD_MODE -0.2633133786 -5.590142e-02 -0.1639452186
## COMMONAREA_MODE 0.0643245727 1.415543e-02 -0.4966177744
## ELEVATORS_MODE -0.0251273717 1.706735e-01 0.1633159922
## ENTRANCES_MODE -0.0550582329 1.565854e-02 0.3319040447
## FLOORSMAX_MODE -0.4799000414 3.323174e-02 -0.1113650782
## FLOORSMIN_MODE -0.4150487022 -1.285958e-02 -0.1771027105
## LANDAREA_MODE -0.0472654649 -5.741504e-01 0.1966472868
## LIVINGAPARTMENTS_MODE 0.0768676794 2.100745e-01 -0.1015962880
## LIVINGAREA_MODE 0.1547622589 8.911291e-02 0.0655408963
## NONLIVINGAPARTMENTS_MODE -0.1569330729 -1.959341e-01 0.1051784540
## NONLIVINGAREA_MODE -0.0432305334 1.333842e-01 0.0871576178
## APARTMENTS_MEDI -0.0267581516 -1.190473e-01 -0.0556547883
## BASEMENTAREA_MEDI -0.0372888850 -7.889925e-02 -0.0662798333
## YEARS_BEGINEXPLUATATION_MEDI -0.0511142626 -1.139419e-02 -0.0262470705
## YEARS_BUILD_MEDI 0.1004730243 2.663026e-02 0.0772147351
## COMMONAREA_MEDI -0.0388893362 -3.367093e-02 0.2547254000
## ELEVATORS_MEDI 0.0090328491 -1.353216e-01 -0.0846441441
## ENTRANCES_MEDI 0.0459876245 -4.967629e-02 -0.1374372687
## FLOORSMAX_MEDI 0.1961978486 -2.397015e-02 0.0388606561
## FLOORSMIN_MEDI 0.1641089580 3.062005e-03 0.0684346380
## LANDAREA_MEDI 0.0231065300 1.254457e-01 -0.0564468090
## LIVINGAPARTMENTS_MEDI -0.0731328209 -1.810543e-01 0.1045772651
## LIVINGAREA_MEDI -0.0936660958 -8.863890e-02 -0.0250856234
## NONLIVINGAPARTMENTS_MEDI 0.0305296253 1.191134e-02 -0.0152095082
## NONLIVINGAREA_MEDI -0.0002608962 -1.555325e-01 -0.1073326278
## TOTALAREA_MODE -0.0301462507 1.008706e-02 0.0265697215
## OBS_30_CNT_SOCIAL_CIRCLE 0.0006370206 -2.682375e-03 -0.0019139468
## DEF_30_CNT_SOCIAL_CIRCLE 0.0064703811 1.286607e-03 -0.0018007832
## OBS_60_CNT_SOCIAL_CIRCLE 0.0002336193 -1.222334e-04 0.0007471032
## DEF_60_CNT_SOCIAL_CIRCLE -0.0066057250 1.853278e-05 0.0016090388
## DAYS_LAST_PHONE_CHANGE 0.0002668089 -3.267547e-03 0.0031731309
## AMT_REQ_CREDIT_BUREAU_HOUR -0.0029167303 -1.808841e-03 -0.0002743997
## AMT_REQ_CREDIT_BUREAU_DAY -0.0009152932 2.313555e-03 0.0003086361
## AMT_REQ_CREDIT_BUREAU_WEEK 0.0006364023 -1.696754e-04 0.0001753915
## AMT_REQ_CREDIT_BUREAU_MON -0.0024436499 -1.286699e-03 0.0017629076
## AMT_REQ_CREDIT_BUREAU_QRT -0.0002956778 5.333110e-04 0.0005045494
## AMT_REQ_CREDIT_BUREAU_YEAR 0.0012028700 -1.150013e-03 -0.0002380973
## PC43 PC44 PC45
## AMT_INCOME_TOTAL 0.0021980830 7.744460e-04 5.996338e-04
## AMT_CREDIT -0.0630513265 -2.321307e-02 -4.477015e-02
## AMT_ANNUITY 0.0003197767 8.416695e-04 6.263514e-04
## AMT_GOODS_PRICE 0.0623959748 2.198191e-02 4.255762e-02
## REGION_POPULATION_RELATIVE 0.0092711322 6.627088e-03 4.113741e-03
## DAYS_REGISTRATION -0.0037655005 -3.172814e-03 -2.498820e-03
## OWN_CAR_AGE 0.0008490677 2.843054e-04 1.264132e-03
## CNT_FAM_MEMBERS 0.0019218358 1.642955e-03 5.079992e-04
## EXT_SOURCE_1 -0.0013096369 -3.912729e-04 -2.085970e-03
## EXT_SOURCE_2 -0.0010630716 -7.211790e-04 -1.612674e-03
## EXT_SOURCE_3 0.0010878977 7.300524e-04 6.257503e-05
## APARTMENTS_AVG -0.1823867381 -1.556267e-01 6.251809e-02
## BASEMENTAREA_AVG 0.0375399532 -4.105832e-01 -2.085551e-02
## YEARS_BEGINEXPLUATATION_AVG 0.0462403775 -3.125357e-02 1.131816e-02
## YEARS_BUILD_AVG 0.0281394710 -4.521598e-02 3.190966e-02
## COMMONAREA_AVG -0.1490874111 1.429935e-01 -1.779985e-01
## ELEVATORS_AVG -0.2156940676 -1.195417e-01 -1.042092e-01
## ENTRANCES_AVG -0.2099564084 -1.806423e-01 -1.901235e-01
## FLOORSMAX_AVG 0.0382372389 -9.007987e-02 1.963902e-02
## FLOORSMIN_AVG -0.0048030519 -5.843541e-02 9.459421e-02
## LANDAREA_AVG -0.0491135210 2.660939e-01 1.659252e-01
## LIVINGAPARTMENTS_AVG -0.0819222696 -1.401512e-01 2.376838e-01
## LIVINGAREA_AVG -0.0804841992 -3.876507e-02 1.665798e-02
## NONLIVINGAPARTMENTS_AVG 0.1468222671 -2.630253e-02 -1.552035e-01
## NONLIVINGAREA_AVG -0.4130732301 8.016643e-02 1.770939e-01
## APARTMENTS_MODE 0.0323967633 -3.974854e-02 -5.368564e-02
## BASEMENTAREA_MODE -0.2538075228 3.658884e-01 3.691491e-02
## YEARS_BEGINEXPLUATATION_MODE -0.0272905798 2.069937e-02 -6.973023e-03
## YEARS_BUILD_MODE -0.0579242577 4.947893e-02 -4.560045e-02
## COMMONAREA_MODE 0.2318902947 -3.707768e-01 3.693001e-01
## ELEVATORS_MODE 0.1349514705 2.510341e-02 1.385142e-01
## ENTRANCES_MODE 0.1911991140 1.449918e-01 2.667910e-01
## FLOORSMAX_MODE -0.0613542833 1.011674e-01 -2.988412e-03
## FLOORSMIN_MODE -0.0319549331 5.640356e-02 -1.174998e-01
## LANDAREA_MODE 0.0203170319 -3.271581e-01 -1.805948e-01
## LIVINGAPARTMENTS_MODE -0.0650185453 -3.205683e-02 -4.827073e-01
## LIVINGAREA_MODE -0.1404665795 -1.381879e-01 -7.302604e-02
## NONLIVINGAPARTMENTS_MODE -0.3334079685 -9.906446e-02 2.968986e-01
## NONLIVINGAREA_MODE 0.0225105488 -5.609071e-02 3.399032e-02
## APARTMENTS_MEDI 0.1381596594 1.831008e-01 4.309394e-02
## BASEMENTAREA_MEDI 0.2124698638 5.199196e-02 -7.849236e-03
## YEARS_BEGINEXPLUATATION_MEDI -0.0200223561 8.510894e-03 -5.234750e-03
## YEARS_BUILD_MEDI 0.0217218451 1.262333e-03 1.194261e-02
## COMMONAREA_MEDI -0.0825779512 2.248994e-01 -1.839076e-01
## ELEVATORS_MEDI 0.0696816115 8.230982e-02 -4.297401e-02
## ENTRANCES_MEDI 0.0245181373 2.565958e-02 -7.404387e-02
## FLOORSMAX_MEDI 0.0281699178 -2.359481e-02 -1.439074e-02
## FLOORSMIN_MEDI 0.0336695182 1.052773e-03 2.571705e-02
## LANDAREA_MEDI 0.0261392260 5.834333e-02 1.506182e-02
## LIVINGAPARTMENTS_MEDI 0.1553006098 1.810640e-01 1.937958e-01
## LIVINGAREA_MEDI 0.1659849575 1.547329e-01 7.817440e-02
## NONLIVINGAPARTMENTS_MEDI 0.1862530696 1.256198e-01 -1.536716e-01
## NONLIVINGAREA_MEDI 0.3764886761 -2.392993e-02 -2.084550e-01
## TOTALAREA_MODE 0.0724595044 5.221041e-02 -2.375642e-02
## OBS_30_CNT_SOCIAL_CIRCLE 0.0003874663 1.205439e-04 1.841782e-03
## DEF_30_CNT_SOCIAL_CIRCLE 0.0038454826 4.552059e-03 2.223293e-03
## OBS_60_CNT_SOCIAL_CIRCLE -0.0013559008 6.141631e-04 -7.121261e-04
## DEF_60_CNT_SOCIAL_CIRCLE -0.0018123063 -4.268974e-03 -4.498414e-03
## DAYS_LAST_PHONE_CHANGE -0.0017775293 7.045876e-04 -4.334278e-03
## AMT_REQ_CREDIT_BUREAU_HOUR -0.0024406169 -3.528573e-03 1.122003e-03
## AMT_REQ_CREDIT_BUREAU_DAY 0.0003564650 3.625817e-04 -1.006270e-03
## AMT_REQ_CREDIT_BUREAU_WEEK -0.0002185594 1.090091e-03 2.737722e-04
## AMT_REQ_CREDIT_BUREAU_MON 0.0006131993 -2.857214e-04 -2.586733e-03
## AMT_REQ_CREDIT_BUREAU_QRT -0.0006680600 1.813515e-03 -7.876220e-04
## AMT_REQ_CREDIT_BUREAU_YEAR -0.0002977739 7.978068e-05 9.731395e-05
## PC46 PC47 PC48
## AMT_INCOME_TOTAL 0.0005141224 8.725748e-04 0.0028220657
## AMT_CREDIT 0.0183678584 1.014939e-01 0.3151392487
## AMT_ANNUITY -0.0025806055 1.909176e-03 0.0019181251
## AMT_GOODS_PRICE -0.0161415389 -1.009605e-01 -0.3189303665
## REGION_POPULATION_RELATIVE -0.0002550603 5.490232e-03 -0.0005620425
## DAYS_REGISTRATION -0.0001319186 1.989187e-03 0.0003289415
## OWN_CAR_AGE -0.0013254270 4.856999e-05 -0.0020686092
## CNT_FAM_MEMBERS 0.0021135254 -1.273830e-03 -0.0021336339
## EXT_SOURCE_1 0.0013764895 9.754648e-04 0.0020416032
## EXT_SOURCE_2 -0.0006283873 -4.260613e-04 0.0006831999
## EXT_SOURCE_3 0.0005447661 -3.720970e-04 0.0015783730
## APARTMENTS_AVG 0.0534538226 -1.615046e-01 0.1996416224
## BASEMENTAREA_AVG -0.0839042576 -4.694792e-02 -0.1458546500
## YEARS_BEGINEXPLUATATION_AVG 0.0201345478 2.072007e-01 0.1942026440
## YEARS_BUILD_AVG 0.0423594631 2.343610e-01 0.1417969212
## COMMONAREA_AVG 0.0835904032 -4.096611e-02 0.0337109924
## ELEVATORS_AVG 0.0440511491 -5.373756e-02 0.0130039991
## ENTRANCES_AVG 0.0648618131 1.491019e-01 -0.1239828148
## FLOORSMAX_AVG -0.0304575687 -1.839599e-01 0.0015245974
## FLOORSMIN_AVG -0.0481811050 -1.157198e-01 -0.0805422119
## LANDAREA_AVG 0.1739588278 -2.606006e-02 -0.0117245129
## LIVINGAPARTMENTS_AVG 0.2823246120 -4.648494e-02 0.0090026010
## LIVINGAREA_AVG -0.0989216264 -8.663604e-02 0.1725461703
## NONLIVINGAPARTMENTS_AVG -0.0245809118 -8.009732e-02 0.1348863281
## NONLIVINGAREA_AVG -0.3404634445 1.533958e-01 -0.0830776770
## APARTMENTS_MODE 0.1342655430 1.392666e-01 -0.1659622377
## BASEMENTAREA_MODE 0.0727945039 -4.233780e-02 0.0238519120
## YEARS_BEGINEXPLUATATION_MODE -0.0120524573 -1.255496e-01 -0.1209412727
## YEARS_BUILD_MODE -0.1078504443 -5.266435e-01 -0.2924621863
## COMMONAREA_MODE -0.1408176195 6.208581e-02 -0.0023363338
## ELEVATORS_MODE -0.0205247219 4.822926e-02 0.0209430511
## ENTRANCES_MODE -0.0411720322 -2.668624e-01 0.2599991766
## FLOORSMAX_MODE 0.0605239926 2.728611e-01 0.0377066792
## FLOORSMIN_MODE 0.0850091414 1.171165e-01 0.1222054833
## LANDAREA_MODE -0.1764967135 6.014107e-02 0.0214007530
## LIVINGAPARTMENTS_MODE -0.2490975857 -1.430697e-01 0.2477255342
## LIVINGAREA_MODE 0.2832509367 1.345370e-01 -0.3073375125
## NONLIVINGAPARTMENTS_MODE 0.2148810792 -1.079559e-01 0.1285169343
## NONLIVINGAREA_MODE -0.1950646507 1.512062e-02 0.0416271427
## APARTMENTS_MEDI -0.1921257223 2.076490e-02 -0.0294879256
## BASEMENTAREA_MEDI 0.0080208279 8.928312e-02 0.1217699933
## YEARS_BEGINEXPLUATATION_MEDI -0.0094072853 -7.839176e-02 -0.0643124762
## YEARS_BUILD_MEDI 0.0644654981 2.606636e-01 0.1181032528
## COMMONAREA_MEDI 0.0547387459 -1.920523e-02 -0.0340324962
## ELEVATORS_MEDI -0.0117110281 1.126627e-02 -0.0431230998
## ENTRANCES_MEDI -0.0180379288 1.130358e-01 -0.1325969557
## FLOORSMAX_MEDI -0.0257586421 -9.114028e-02 -0.0404714205
## FLOORSMIN_MEDI -0.0400619115 -2.353266e-03 -0.0420345142
## LANDAREA_MEDI 0.0008969190 -2.882996e-02 -0.0099599061
## LIVINGAPARTMENTS_MEDI -0.0280822264 1.906897e-01 -0.2582036891
## LIVINGAREA_MEDI -0.2001289000 -4.107182e-02 0.1465460428
## NONLIVINGAPARTMENTS_MEDI -0.1931634688 1.866741e-01 -0.2586831167
## NONLIVINGAREA_MEDI 0.5327049800 -1.639761e-01 0.0392968692
## TOTALAREA_MODE 0.0101583447 -1.707903e-02 -0.0058727482
## OBS_30_CNT_SOCIAL_CIRCLE -0.0003119872 -3.375771e-03 0.0004343356
## DEF_30_CNT_SOCIAL_CIRCLE -0.0024594108 -4.093294e-03 0.0001927665
## OBS_60_CNT_SOCIAL_CIRCLE -0.0001836206 3.707791e-03 -0.0001119302
## DEF_60_CNT_SOCIAL_CIRCLE 0.0049822355 3.915235e-03 0.0003001075
## DAYS_LAST_PHONE_CHANGE 0.0012202923 -1.525244e-03 0.0005213511
## AMT_REQ_CREDIT_BUREAU_HOUR 0.0043223775 -3.152474e-03 0.0009770880
## AMT_REQ_CREDIT_BUREAU_DAY 0.0015590242 -9.268174e-04 -0.0012574925
## AMT_REQ_CREDIT_BUREAU_WEEK -0.0009322152 6.157664e-04 0.0008708509
## AMT_REQ_CREDIT_BUREAU_MON 0.0013579335 -2.957000e-04 -0.0011800818
## AMT_REQ_CREDIT_BUREAU_QRT -0.0004273620 -1.621421e-03 -0.0007671092
## AMT_REQ_CREDIT_BUREAU_YEAR 0.0009381223 -1.685350e-04 -0.0009435415
## PC49 PC50 PC51
## AMT_INCOME_TOTAL 2.871496e-03 1.997564e-03 2.311038e-04
## AMT_CREDIT 6.108131e-01 -4.381241e-02 1.827959e-02
## AMT_ANNUITY 8.836999e-03 -2.192621e-03 -1.886682e-04
## AMT_GOODS_PRICE -6.199146e-01 4.529123e-02 -1.883139e-02
## REGION_POPULATION_RELATIVE -2.441039e-03 1.099305e-03 -7.007828e-03
## DAYS_REGISTRATION 1.756064e-03 -1.328961e-05 1.238218e-03
## OWN_CAR_AGE -2.675705e-03 -4.512808e-04 -1.839214e-04
## CNT_FAM_MEMBERS -1.798358e-03 1.661086e-03 2.115698e-05
## EXT_SOURCE_1 5.482596e-03 -7.737009e-04 9.460773e-04
## EXT_SOURCE_2 1.550117e-03 4.806240e-05 5.664484e-04
## EXT_SOURCE_3 2.567294e-03 -7.791160e-04 1.192457e-03
## APARTMENTS_AVG -9.006201e-02 3.044118e-02 1.617426e-02
## BASEMENTAREA_AVG 5.621384e-02 -2.732204e-01 -1.393885e-01
## YEARS_BEGINEXPLUATATION_AVG -1.522921e-01 -2.481339e-02 4.776196e-02
## YEARS_BUILD_AVG -1.028042e-01 -4.702742e-02 -5.512415e-03
## COMMONAREA_AVG -2.962989e-02 4.796434e-02 8.344813e-03
## ELEVATORS_AVG -6.370307e-02 -2.071818e-01 3.963439e-01
## ENTRANCES_AVG -2.210607e-03 -5.876094e-02 -1.590814e-01
## FLOORSMAX_AVG 4.172450e-02 2.251032e-02 6.535185e-03
## FLOORSMIN_AVG 8.104413e-02 1.464778e-02 8.821678e-02
## LANDAREA_AVG 3.343223e-02 -7.708093e-02 1.104856e-01
## LIVINGAPARTMENTS_AVG 2.159569e-03 7.419874e-02 -2.560062e-02
## LIVINGAREA_AVG -8.402698e-02 -2.115242e-01 -1.249466e-02
## NONLIVINGAPARTMENTS_AVG -3.682216e-02 2.140959e-01 -8.937123e-02
## NONLIVINGAREA_AVG 2.378413e-03 1.134931e-01 1.300501e-02
## APARTMENTS_MODE 5.494526e-02 -1.019330e-01 4.583096e-02
## BASEMENTAREA_MODE -3.803464e-02 -2.850042e-01 -2.057879e-01
## YEARS_BEGINEXPLUATATION_MODE 9.175242e-02 1.572535e-02 -3.251990e-02
## YEARS_BUILD_MODE 2.294152e-01 1.124188e-01 3.641048e-02
## COMMONAREA_MODE 1.605596e-02 -9.035701e-02 3.857774e-02
## ELEVATORS_MODE 5.125321e-02 2.071395e-01 -5.208424e-01
## ENTRANCES_MODE -6.936015e-02 -1.559824e-01 3.095246e-01
## FLOORSMAX_MODE -6.778593e-02 -1.813080e-02 1.258768e-01
## FLOORSMIN_MODE -1.163216e-01 -7.020140e-03 -9.546566e-02
## LANDAREA_MODE -3.791570e-02 1.556099e-02 -2.886584e-02
## LIVINGAPARTMENTS_MODE -1.303549e-01 2.388581e-02 1.588725e-02
## LIVINGAREA_MODE 1.084378e-01 2.418956e-01 2.059771e-01
## NONLIVINGAPARTMENTS_MODE -6.373975e-02 9.322728e-02 -8.820542e-02
## NONLIVINGAREA_MODE -6.106861e-03 5.100497e-02 7.825555e-02
## APARTMENTS_MEDI 3.702624e-02 5.348712e-02 -6.540167e-02
## BASEMENTAREA_MEDI -1.989282e-02 5.584052e-01 3.439019e-01
## YEARS_BEGINEXPLUATATION_MEDI 5.413531e-02 8.304177e-03 -8.784526e-03
## YEARS_BUILD_MEDI -9.678490e-02 -6.345257e-02 -4.150711e-02
## COMMONAREA_MEDI 1.372301e-02 3.865291e-02 -4.558570e-02
## ELEVATORS_MEDI 8.971706e-03 -4.501684e-03 1.390627e-01
## ENTRANCES_MEDI 7.193710e-02 2.102195e-01 -1.470436e-01
## FLOORSMAX_MEDI 3.027673e-02 3.977140e-03 -1.406080e-01
## FLOORSMIN_MEDI 3.505224e-02 -1.163066e-02 1.304618e-02
## LANDAREA_MEDI 6.591697e-03 6.333381e-02 -7.906630e-02
## LIVINGAPARTMENTS_MEDI 1.272060e-01 -9.829134e-02 1.794936e-02
## LIVINGAREA_MEDI -3.523186e-02 -4.111070e-02 -1.826888e-01
## NONLIVINGAPARTMENTS_MEDI 9.859527e-02 -3.046544e-01 1.774854e-01
## NONLIVINGAREA_MEDI 4.008470e-03 -1.691234e-01 -9.199564e-02
## TOTALAREA_MODE 1.122127e-02 3.100051e-02 -2.608771e-02
## OBS_30_CNT_SOCIAL_CIRCLE -2.635650e-03 -2.086016e-03 -5.508964e-03
## DEF_30_CNT_SOCIAL_CIRCLE 3.164858e-05 3.018601e-03 2.914732e-03
## OBS_60_CNT_SOCIAL_CIRCLE 2.599853e-03 2.558874e-03 6.524156e-03
## DEF_60_CNT_SOCIAL_CIRCLE 1.752601e-04 -2.614867e-03 -2.360095e-03
## DAYS_LAST_PHONE_CHANGE -1.416700e-03 -3.819511e-04 -1.557772e-03
## AMT_REQ_CREDIT_BUREAU_HOUR -1.096906e-03 -6.144554e-06 -1.320769e-03
## AMT_REQ_CREDIT_BUREAU_DAY 1.591307e-03 6.437536e-04 1.125654e-03
## AMT_REQ_CREDIT_BUREAU_WEEK -3.949906e-04 -6.804773e-04 -5.348108e-04
## AMT_REQ_CREDIT_BUREAU_MON -1.728928e-03 -1.891881e-03 -8.365961e-04
## AMT_REQ_CREDIT_BUREAU_QRT 4.555206e-04 -2.367969e-04 7.943851e-04
## AMT_REQ_CREDIT_BUREAU_YEAR -3.179201e-03 1.299375e-03 1.084540e-04
## PC52 PC53 PC54
## AMT_INCOME_TOTAL -4.872279e-04 -4.364103e-04 -3.453642e-04
## AMT_CREDIT 2.009574e-02 1.285408e-02 1.603348e-02
## AMT_ANNUITY 8.645973e-04 1.489135e-03 -1.758867e-04
## AMT_GOODS_PRICE -1.979596e-02 -1.471425e-02 -1.652581e-02
## REGION_POPULATION_RELATIVE -2.361137e-03 3.303837e-03 2.641524e-03
## DAYS_REGISTRATION 1.254875e-03 -2.326640e-03 1.414135e-04
## OWN_CAR_AGE 4.266932e-04 5.886920e-04 -3.405534e-04
## CNT_FAM_MEMBERS -1.467362e-03 1.676877e-03 -1.301808e-03
## EXT_SOURCE_1 -7.555817e-04 1.347702e-04 -1.220452e-03
## EXT_SOURCE_2 9.807812e-04 3.122767e-04 -9.123406e-04
## EXT_SOURCE_3 -7.519495e-04 8.731691e-04 7.998716e-04
## APARTMENTS_AVG -5.372400e-02 6.479856e-02 -1.420653e-01
## BASEMENTAREA_AVG 6.356190e-02 2.537163e-01 3.055361e-03
## YEARS_BEGINEXPLUATATION_AVG 2.597323e-01 2.280328e-01 2.757719e-01
## YEARS_BUILD_AVG -1.712145e-02 6.243545e-03 -1.378967e-02
## COMMONAREA_AVG -1.971792e-02 -9.745604e-02 2.711015e-02
## ELEVATORS_AVG 2.843022e-02 -5.892720e-02 8.028714e-02
## ENTRANCES_AVG -1.060716e-01 -2.169041e-01 -6.371550e-02
## FLOORSMAX_AVG 2.772598e-01 -1.342836e-01 5.482318e-02
## FLOORSMIN_AVG -3.321052e-01 5.002933e-02 7.014877e-02
## LANDAREA_AVG 1.240079e-01 -9.583756e-03 -4.260307e-01
## LIVINGAPARTMENTS_AVG 8.552089e-03 -1.190781e-01 4.860115e-02
## LIVINGAREA_AVG -6.722362e-02 -2.955905e-01 4.367468e-02
## NONLIVINGAPARTMENTS_AVG 1.702936e-02 1.229316e-01 4.645835e-02
## NONLIVINGAREA_AVG 6.917755e-02 2.120299e-02 -4.840368e-04
## APARTMENTS_MODE 5.557822e-02 -3.997263e-01 2.606990e-01
## BASEMENTAREA_MODE -2.197423e-02 5.423845e-02 4.580908e-02
## YEARS_BEGINEXPLUATATION_MODE -1.672437e-01 -1.478290e-01 -1.792878e-01
## YEARS_BUILD_MODE 7.099874e-02 -7.042265e-03 1.100607e-01
## COMMONAREA_MODE 3.980180e-04 2.632542e-02 -1.222408e-02
## ELEVATORS_MODE -9.672895e-02 -1.542734e-01 -1.127879e-01
## ENTRANCES_MODE 3.778430e-02 6.721491e-02 -2.646677e-02
## FLOORSMAX_MODE -4.403083e-01 1.746275e-01 5.746549e-02
## FLOORSMIN_MODE 5.370564e-01 -8.387656e-02 -7.360481e-03
## LANDAREA_MODE 6.363646e-03 -1.232566e-02 -2.229192e-01
## LIVINGAPARTMENTS_MODE -1.044845e-01 1.074569e-01 -6.625285e-02
## LIVINGAREA_MODE 9.352880e-02 3.131953e-01 -9.029126e-02
## NONLIVINGAPARTMENTS_MODE -2.614492e-02 5.412449e-02 2.397135e-02
## NONLIVINGAREA_MODE 3.790742e-02 -8.527426e-02 2.855048e-02
## APARTMENTS_MEDI 9.561585e-03 3.143230e-01 -1.231020e-01
## BASEMENTAREA_MEDI -3.989440e-02 -3.103295e-01 -4.807499e-02
## YEARS_BEGINEXPLUATATION_MEDI -7.904019e-02 -6.309166e-02 -8.334031e-02
## YEARS_BUILD_MEDI -1.089425e-01 -4.904852e-02 -1.516533e-01
## COMMONAREA_MEDI 1.693932e-02 6.721667e-02 -1.366140e-02
## ELEVATORS_MEDI 7.233582e-02 2.035680e-01 3.657401e-02
## ENTRANCES_MEDI 7.338418e-02 1.461311e-01 8.928974e-02
## FLOORSMAX_MEDI 1.843076e-01 -4.783882e-02 -1.110352e-01
## FLOORSMIN_MEDI -2.172163e-01 3.650204e-02 -6.400620e-02
## LANDAREA_MEDI -1.306087e-01 2.197252e-02 6.471660e-01
## LIVINGAPARTMENTS_MEDI 8.052268e-02 3.042801e-02 1.823351e-02
## LIVINGAREA_MEDI -2.913342e-02 -2.376688e-02 5.113666e-02
## NONLIVINGAPARTMENTS_MEDI 6.924084e-03 -1.740079e-01 -7.121250e-02
## NONLIVINGAREA_MEDI -1.094339e-01 6.717311e-02 -2.911981e-02
## TOTALAREA_MODE -3.099160e-04 2.643250e-02 -5.347057e-03
## OBS_30_CNT_SOCIAL_CIRCLE -6.323383e-03 -9.790949e-03 -2.204243e-04
## DEF_30_CNT_SOCIAL_CIRCLE 1.757915e-03 -2.282511e-03 1.040930e-03
## OBS_60_CNT_SOCIAL_CIRCLE 5.911864e-03 8.647883e-03 -3.741268e-04
## DEF_60_CNT_SOCIAL_CIRCLE -9.840239e-04 1.587662e-03 1.288851e-04
## DAYS_LAST_PHONE_CHANGE -3.430731e-04 -1.327796e-03 -1.519137e-04
## AMT_REQ_CREDIT_BUREAU_HOUR 1.110437e-03 -3.877554e-04 1.783680e-04
## AMT_REQ_CREDIT_BUREAU_DAY 1.590226e-03 8.123652e-05 2.202438e-04
## AMT_REQ_CREDIT_BUREAU_WEEK -9.876404e-05 -3.266140e-04 2.974974e-04
## AMT_REQ_CREDIT_BUREAU_MON 1.216823e-03 -8.539526e-04 -1.084894e-03
## AMT_REQ_CREDIT_BUREAU_QRT -9.086682e-04 3.448927e-04 -9.004678e-05
## AMT_REQ_CREDIT_BUREAU_YEAR -8.131349e-04 -1.244723e-03 -1.535467e-03
## PC55 PC56 PC57
## AMT_INCOME_TOTAL -6.582567e-06 -1.409606e-03 -7.601398e-04
## AMT_CREDIT 4.836146e-03 7.274680e-03 -1.110750e-02
## AMT_ANNUITY -8.544408e-04 1.166177e-03 1.074586e-04
## AMT_GOODS_PRICE -3.690828e-03 -8.284013e-03 1.129239e-02
## REGION_POPULATION_RELATIVE 1.677141e-03 5.809720e-04 -1.268436e-03
## DAYS_REGISTRATION 1.220720e-03 7.557694e-04 1.202171e-04
## OWN_CAR_AGE -2.961568e-04 -8.738248e-04 2.113255e-04
## CNT_FAM_MEMBERS -1.574960e-04 6.179605e-04 5.577912e-04
## EXT_SOURCE_1 9.575684e-04 -1.540158e-04 9.950904e-05
## EXT_SOURCE_2 -6.692841e-04 5.906878e-04 1.595165e-05
## EXT_SOURCE_3 -1.396654e-03 9.783197e-04 -3.918303e-04
## APARTMENTS_AVG -1.488310e-01 2.119174e-01 -1.579746e-02
## BASEMENTAREA_AVG 7.180819e-02 -3.458483e-02 3.544245e-02
## YEARS_BEGINEXPLUATATION_AVG -4.596638e-01 -1.805008e-01 -2.752311e-01
## YEARS_BUILD_AVG 4.224548e-02 2.625536e-02 2.151631e-01
## COMMONAREA_AVG -7.627827e-02 2.129606e-02 2.629364e-02
## ELEVATORS_AVG 1.719457e-02 3.834840e-02 5.776553e-02
## ENTRANCES_AVG -1.107223e-01 7.194702e-02 -1.970399e-01
## FLOORSMAX_AVG -7.163036e-02 2.062156e-03 3.848422e-01
## FLOORSMIN_AVG -2.322640e-01 -1.570607e-01 3.361746e-01
## LANDAREA_AVG -9.623371e-02 -2.672730e-01 -3.020576e-03
## LIVINGAPARTMENTS_AVG -3.322973e-03 -2.667313e-02 -5.369630e-02
## LIVINGAREA_AVG -1.103098e-01 3.037889e-03 3.319530e-03
## NONLIVINGAPARTMENTS_AVG 2.101227e-01 -2.127401e-01 5.250428e-03
## NONLIVINGAREA_AVG 4.633199e-02 -6.432184e-03 -6.073549e-03
## APARTMENTS_MODE 1.776542e-01 -3.855755e-01 -4.532941e-02
## BASEMENTAREA_MODE -2.394239e-03 -1.959505e-02 3.144480e-02
## YEARS_BEGINEXPLUATATION_MODE 2.983870e-01 1.178539e-01 1.759782e-01
## YEARS_BUILD_MODE -2.072091e-01 -1.107002e-01 -1.707706e-01
## COMMONAREA_MODE 4.843440e-02 -8.998282e-04 -7.177373e-03
## ELEVATORS_MODE -2.991426e-01 1.364307e-01 9.379666e-03
## ENTRANCES_MODE 7.205732e-02 1.547450e-01 -4.020445e-02
## FLOORSMAX_MODE -9.603489e-02 -1.243161e-01 2.862883e-02
## FLOORSMIN_MODE 8.425930e-02 1.771623e-01 1.494442e-01
## LANDAREA_MODE -5.297322e-02 -1.361419e-01 5.943887e-03
## LIVINGAPARTMENTS_MODE 1.756495e-02 -7.402947e-03 3.201323e-02
## LIVINGAREA_MODE 1.329985e-03 2.258230e-01 8.091024e-03
## NONLIVINGAPARTMENTS_MODE 4.881544e-02 -4.922077e-02 -4.679825e-03
## NONLIVINGAREA_MODE 2.829168e-02 -1.845162e-02 -1.460147e-02
## APARTMENTS_MEDI -4.620302e-02 1.888932e-01 5.672621e-02
## BASEMENTAREA_MEDI -6.950628e-02 5.570249e-02 -6.691185e-02
## YEARS_BEGINEXPLUATATION_MEDI 1.368070e-01 5.647838e-02 8.635821e-02
## YEARS_BUILD_MEDI 2.565919e-01 1.164816e-01 7.036463e-03
## COMMONAREA_MEDI 2.644771e-02 -2.191763e-02 -1.995841e-02
## ELEVATORS_MEDI 2.852127e-01 -1.809049e-01 -7.077798e-02
## ENTRANCES_MEDI 3.927160e-02 -2.250718e-01 2.372803e-01
## FLOORSMAX_MEDI 1.721415e-01 1.294925e-01 -4.054688e-01
## FLOORSMIN_MEDI 1.452820e-01 -2.740926e-02 -4.869327e-01
## LANDAREA_MEDI 1.492382e-01 4.021331e-01 -3.409825e-03
## LIVINGAPARTMENTS_MEDI 1.634131e-03 2.081539e-02 2.498706e-02
## LIVINGAREA_MEDI 1.073769e-01 -2.182863e-01 -1.253184e-02
## NONLIVINGAPARTMENTS_MEDI -2.561409e-01 2.586436e-01 2.787829e-04
## NONLIVINGAREA_MEDI -7.672053e-02 2.499495e-02 2.022657e-02
## TOTALAREA_MODE 5.484841e-03 -6.875760e-03 1.768491e-03
## OBS_30_CNT_SOCIAL_CIRCLE -2.447789e-03 -3.786352e-03 -9.264052e-03
## DEF_30_CNT_SOCIAL_CIRCLE 3.572359e-04 -1.835076e-04 1.636862e-03
## OBS_60_CNT_SOCIAL_CIRCLE 3.259999e-03 3.823440e-03 9.593816e-03
## DEF_60_CNT_SOCIAL_CIRCLE -3.290319e-04 -2.378248e-04 -1.299461e-03
## DAYS_LAST_PHONE_CHANGE -1.409765e-03 -1.293313e-04 -6.466023e-04
## AMT_REQ_CREDIT_BUREAU_HOUR -1.303696e-04 -1.010516e-03 -4.637732e-04
## AMT_REQ_CREDIT_BUREAU_DAY -1.961465e-04 9.934907e-04 -2.193096e-04
## AMT_REQ_CREDIT_BUREAU_WEEK -3.717101e-04 3.775522e-04 9.629351e-04
## AMT_REQ_CREDIT_BUREAU_MON -1.166848e-03 1.686907e-03 2.621856e-04
## AMT_REQ_CREDIT_BUREAU_QRT -8.262406e-04 -3.625601e-05 8.717910e-04
## AMT_REQ_CREDIT_BUREAU_YEAR -8.819910e-05 -1.258180e-03 -8.366825e-04
## PC58 PC59 PC60
## AMT_INCOME_TOTAL -1.291650e-03 -3.717893e-04 -6.864224e-04
## AMT_CREDIT 2.105130e-03 3.488726e-03 -7.671611e-03
## AMT_ANNUITY 6.114535e-04 -2.881866e-04 1.842591e-04
## AMT_GOODS_PRICE -1.895480e-03 -2.403226e-03 7.493890e-03
## REGION_POPULATION_RELATIVE 8.620794e-05 -2.797153e-04 -5.080942e-04
## DAYS_REGISTRATION 4.395564e-04 1.919159e-04 -1.326870e-05
## OWN_CAR_AGE -1.738064e-04 -5.281735e-04 4.641609e-04
## CNT_FAM_MEMBERS -2.672598e-04 3.059596e-05 -8.814062e-05
## EXT_SOURCE_1 -1.244488e-04 2.859659e-04 -6.610088e-05
## EXT_SOURCE_2 9.504134e-04 -2.220311e-04 -9.285833e-04
## EXT_SOURCE_3 -2.689134e-04 1.334853e-05 -6.423423e-04
## APARTMENTS_AVG -2.089823e-01 -4.861550e-02 7.977255e-02
## BASEMENTAREA_AVG -1.061154e-03 -3.087400e-02 -1.078772e-02
## YEARS_BEGINEXPLUATATION_AVG -9.942197e-03 3.884463e-02 -2.235417e-02
## YEARS_BUILD_AVG 7.375423e-02 -8.207638e-02 6.539338e-02
## COMMONAREA_AVG 4.403884e-01 -3.758889e-01 -3.305337e-01
## ELEVATORS_AVG 1.808904e-01 -4.358732e-02 2.451544e-01
## ENTRANCES_AVG 1.485593e-01 4.151381e-01 -1.163682e-01
## FLOORSMAX_AVG 4.420171e-02 5.456460e-02 2.620218e-01
## FLOORSMIN_AVG -7.692069e-02 2.240560e-01 -3.610909e-01
## LANDAREA_AVG 2.068718e-02 2.340947e-03 1.931804e-04
## LIVINGAPARTMENTS_AVG -2.893033e-01 -2.096779e-01 -1.471889e-01
## LIVINGAREA_AVG 6.261522e-02 1.673143e-03 8.360406e-02
## NONLIVINGAPARTMENTS_AVG 2.447298e-01 1.964951e-01 6.982349e-02
## NONLIVINGAREA_AVG -2.468856e-02 -5.986171e-03 -1.928718e-02
## APARTMENTS_MODE -1.347327e-02 1.447678e-02 -1.619631e-02
## BASEMENTAREA_MODE 1.185601e-02 -2.201237e-02 9.159103e-03
## YEARS_BEGINEXPLUATATION_MODE 6.027054e-03 -2.449236e-02 1.323698e-02
## YEARS_BUILD_MODE 1.766570e-02 9.421515e-03 1.184069e-02
## COMMONAREA_MODE 1.239586e-02 9.517938e-03 4.414869e-03
## ELEVATORS_MODE 1.155583e-02 -2.630181e-02 8.436689e-02
## ENTRANCES_MODE 4.855373e-03 4.321153e-02 -3.790109e-02
## FLOORSMAX_MODE -2.224401e-03 -2.512059e-02 4.098843e-02
## FLOORSMIN_MODE -1.457103e-02 3.508753e-02 -6.505581e-02
## LANDAREA_MODE 8.944019e-03 -1.837059e-02 5.577355e-03
## LIVINGAPARTMENTS_MODE -4.460906e-02 -3.255255e-02 -2.363381e-02
## LIVINGAREA_MODE 2.528420e-02 1.698182e-02 -9.811304e-03
## NONLIVINGAPARTMENTS_MODE 4.489581e-02 2.317363e-02 1.224537e-02
## NONLIVINGAREA_MODE -1.068517e-02 1.887634e-02 -5.102808e-03
## APARTMENTS_MEDI 2.243137e-01 3.991055e-02 -5.638608e-02
## BASEMENTAREA_MEDI -1.116251e-02 5.228418e-02 1.277477e-03
## YEARS_BEGINEXPLUATATION_MEDI 3.586792e-03 -1.247464e-02 8.300737e-03
## YEARS_BUILD_MEDI -9.022749e-02 6.417841e-02 -7.401254e-02
## COMMONAREA_MEDI -4.538112e-01 3.668187e-01 3.259283e-01
## ELEVATORS_MEDI -1.945255e-01 7.011570e-02 -3.312345e-01
## ENTRANCES_MEDI -1.543557e-01 -4.571524e-01 1.538272e-01
## FLOORSMAX_MEDI -4.115445e-02 -2.760882e-02 -2.995589e-01
## FLOORSMIN_MEDI 9.104377e-02 -2.590876e-01 4.250237e-01
## LANDAREA_MEDI -2.851490e-02 1.699833e-02 -6.280893e-03
## LIVINGAPARTMENTS_MEDI 3.329208e-01 2.348803e-01 1.601302e-01
## LIVINGAREA_MEDI -8.676991e-02 -1.695536e-02 -6.893771e-02
## NONLIVINGAPARTMENTS_MEDI -2.879321e-01 -2.183320e-01 -8.175176e-02
## NONLIVINGAREA_MEDI 3.575872e-02 -1.369035e-02 2.445256e-02
## TOTALAREA_MODE -1.080205e-03 -4.994768e-03 -2.239191e-03
## OBS_30_CNT_SOCIAL_CIRCLE 4.264535e-03 -4.620282e-03 -1.296043e-02
## DEF_30_CNT_SOCIAL_CIRCLE -4.016349e-04 -9.060629e-04 1.067185e-03
## OBS_60_CNT_SOCIAL_CIRCLE -3.938997e-03 3.897152e-03 1.308382e-02
## DEF_60_CNT_SOCIAL_CIRCLE 4.109353e-04 1.029967e-03 -6.913151e-04
## DAYS_LAST_PHONE_CHANGE 5.995606e-04 -3.539340e-04 -9.952523e-04
## AMT_REQ_CREDIT_BUREAU_HOUR 8.865167e-04 8.729028e-04 4.092641e-04
## AMT_REQ_CREDIT_BUREAU_DAY 1.038385e-04 6.669589e-06 -1.859614e-04
## AMT_REQ_CREDIT_BUREAU_WEEK -2.936468e-04 3.292343e-04 -4.564081e-05
## AMT_REQ_CREDIT_BUREAU_MON 1.568219e-04 1.549121e-04 2.541400e-05
## AMT_REQ_CREDIT_BUREAU_QRT -4.445395e-04 -4.022982e-04 3.734625e-06
## AMT_REQ_CREDIT_BUREAU_YEAR -1.234921e-04 -2.911990e-04 -3.343966e-04
## PC61 PC62 PC63
## AMT_INCOME_TOTAL -1.016124e-03 -3.128249e-04 -1.894075e-04
## AMT_CREDIT 1.476948e-03 3.043970e-03 1.131465e-03
## AMT_ANNUITY -1.508638e-04 4.429773e-04 3.949783e-04
## AMT_GOODS_PRICE -1.188202e-03 -2.852454e-03 -1.958679e-03
## REGION_POPULATION_RELATIVE -7.878008e-04 4.022641e-04 -1.326854e-04
## DAYS_REGISTRATION -3.745660e-04 2.821411e-05 -5.931652e-05
## OWN_CAR_AGE -4.115466e-04 9.295509e-05 2.646345e-04
## CNT_FAM_MEMBERS 4.072101e-04 -1.445674e-04 -3.776929e-04
## EXT_SOURCE_1 1.893611e-04 -3.740070e-04 -4.525744e-04
## EXT_SOURCE_2 6.273826e-04 1.426546e-04 2.781512e-04
## EXT_SOURCE_3 -2.380550e-04 4.618398e-04 -2.346465e-05
## APARTMENTS_AVG -1.493091e-01 -1.016464e-02 -1.549601e-01
## BASEMENTAREA_AVG -1.131608e-02 2.519469e-03 -1.706623e-02
## YEARS_BEGINEXPLUATATION_AVG 3.207636e-02 -1.477122e-03 -8.817588e-02
## YEARS_BUILD_AVG -2.620981e-01 1.015883e-02 6.211137e-01
## COMMONAREA_AVG -1.269845e-01 -1.510767e-02 -1.299644e-01
## ELEVATORS_AVG 3.924653e-01 7.015207e-03 1.389081e-01
## ENTRANCES_AVG -2.280770e-01 -7.936311e-03 4.775392e-02
## FLOORSMAX_AVG -3.258715e-01 6.523346e-03 -2.362614e-01
## FLOORSMIN_AVG 1.951632e-01 -3.706431e-03 3.194493e-02
## LANDAREA_AVG 5.315585e-04 3.065984e-04 1.225385e-02
## LIVINGAPARTMENTS_AVG -2.355249e-03 2.145522e-03 1.185310e-01
## LIVINGAREA_AVG 1.087369e-01 4.871174e-03 -6.342717e-02
## NONLIVINGAPARTMENTS_AVG 9.075360e-02 3.471515e-03 2.804818e-03
## NONLIVINGAREA_AVG -1.321293e-02 2.194048e-03 1.437505e-03
## APARTMENTS_MODE 3.145970e-02 -5.695745e-03 1.942989e-02
## BASEMENTAREA_MODE -2.961939e-03 -2.720726e-03 -5.207942e-03
## YEARS_BEGINEXPLUATATION_MODE -1.892418e-02 8.654320e-04 5.592514e-02
## YEARS_BUILD_MODE -6.370255e-04 -4.252623e-03 -3.119045e-02
## COMMONAREA_MODE 2.524995e-02 -7.581312e-04 -2.833661e-03
## ELEVATORS_MODE 3.330809e-02 -5.118731e-03 -1.186661e-02
## ENTRANCES_MODE -1.599704e-02 1.944478e-03 1.153779e-02
## FLOORSMAX_MODE -2.878132e-02 6.865191e-04 -7.204386e-03
## FLOORSMIN_MODE 2.595460e-02 5.512065e-03 1.368843e-02
## LANDAREA_MODE 2.011996e-02 -1.008161e-03 -9.228321e-04
## LIVINGAPARTMENTS_MODE -1.949535e-02 4.078484e-04 -3.823515e-03
## LIVINGAREA_MODE -3.378920e-02 1.091084e-02 -1.241797e-02
## NONLIVINGAPARTMENTS_MODE -9.659604e-03 -1.031728e-03 -7.584293e-04
## NONLIVINGAREA_MODE -9.550012e-03 4.352993e-04 -4.318651e-03
## APARTMENTS_MEDI 1.218433e-01 1.374069e-02 1.339576e-01
## BASEMENTAREA_MEDI 1.381102e-02 -2.152778e-04 2.254245e-02
## YEARS_BEGINEXPLUATATION_MEDI -1.346083e-02 6.456381e-04 2.760627e-02
## YEARS_BUILD_MEDI 2.595828e-01 -5.246897e-03 -5.724474e-01
## COMMONAREA_MEDI 1.009614e-01 1.601534e-02 1.329389e-01
## ELEVATORS_MEDI -4.250985e-01 -1.881902e-03 -1.254334e-01
## ENTRANCES_MEDI 2.428519e-01 5.788161e-03 -6.017625e-02
## FLOORSMAX_MEDI 3.478296e-01 -7.641561e-03 2.411757e-01
## FLOORSMIN_MEDI -2.175579e-01 -1.630726e-03 -4.426820e-02
## LANDAREA_MEDI -2.140297e-02 6.880395e-04 -1.136188e-02
## LIVINGAPARTMENTS_MEDI 2.106579e-02 -1.838301e-03 -1.145393e-01
## LIVINGAREA_MEDI -7.340668e-02 -1.161682e-02 7.660524e-02
## NONLIVINGAPARTMENTS_MEDI -8.083893e-02 -1.926490e-03 -2.124474e-03
## NONLIVINGAREA_MEDI 2.298231e-02 -2.403698e-03 3.548462e-03
## TOTALAREA_MODE 7.225098e-04 -2.870445e-03 9.488272e-04
## OBS_30_CNT_SOCIAL_CIRCLE -3.710532e-03 7.063324e-01 -9.539305e-03
## DEF_30_CNT_SOCIAL_CIRCLE -3.939232e-04 2.004843e-03 5.267623e-04
## OBS_60_CNT_SOCIAL_CIRCLE 3.754248e-03 -7.067128e-01 9.365516e-03
## DEF_60_CNT_SOCIAL_CIRCLE 2.072025e-04 -1.158960e-03 -6.341116e-04
## DAYS_LAST_PHONE_CHANGE -2.782731e-04 -4.093461e-05 -3.148232e-04
## AMT_REQ_CREDIT_BUREAU_HOUR -6.559984e-04 4.480757e-04 -4.023952e-04
## AMT_REQ_CREDIT_BUREAU_DAY -7.370482e-06 -4.574370e-04 1.787144e-04
## AMT_REQ_CREDIT_BUREAU_WEEK 1.229988e-04 2.821852e-04 9.716493e-05
## AMT_REQ_CREDIT_BUREAU_MON 5.642730e-04 3.438823e-05 -2.594834e-04
## AMT_REQ_CREDIT_BUREAU_QRT 9.322272e-05 -5.815788e-04 -4.233755e-04
## AMT_REQ_CREDIT_BUREAU_YEAR 1.032593e-03 7.236704e-04 -2.554510e-04
## PC64 PC65
## AMT_INCOME_TOTAL -3.049894e-04 -1.397063e-04
## AMT_CREDIT 3.741201e-03 -1.698944e-04
## AMT_ANNUITY -1.142189e-04 -3.606042e-04
## AMT_GOODS_PRICE -3.591292e-03 5.767116e-04
## REGION_POPULATION_RELATIVE -1.700771e-03 -7.952628e-04
## DAYS_REGISTRATION 4.444862e-04 -2.537035e-05
## OWN_CAR_AGE -3.133765e-04 -2.923278e-04
## CNT_FAM_MEMBERS -5.052583e-04 1.859307e-04
## EXT_SOURCE_1 7.619997e-04 -5.161777e-05
## EXT_SOURCE_2 -3.762202e-05 3.122380e-05
## EXT_SOURCE_3 -2.002448e-04 -3.378680e-04
## APARTMENTS_AVG -3.471301e-01 -3.688853e-01
## BASEMENTAREA_AVG 8.328179e-03 -2.911257e-03
## YEARS_BEGINEXPLUATATION_AVG 2.617726e-02 8.222962e-03
## YEARS_BUILD_AVG -1.659327e-01 -1.194263e-02
## COMMONAREA_AVG -1.062621e-03 -7.849608e-02
## ELEVATORS_AVG 2.065357e-01 -1.838065e-01
## ENTRANCES_AVG 1.821103e-01 -2.284098e-02
## FLOORSMAX_AVG 2.072497e-01 6.160811e-02
## FLOORSMIN_AVG -7.027101e-02 -5.277455e-02
## LANDAREA_AVG 1.117119e-02 1.327221e-03
## LIVINGAPARTMENTS_AVG 3.314012e-01 2.103065e-01
## LIVINGAREA_AVG -3.498710e-01 5.286288e-01
## NONLIVINGAPARTMENTS_AVG -5.507589e-02 3.103825e-02
## NONLIVINGAREA_AVG 1.892270e-02 1.433375e-02
## APARTMENTS_MODE -4.686373e-03 -5.963975e-03
## BASEMENTAREA_MODE 2.275348e-03 7.751529e-03
## YEARS_BEGINEXPLUATATION_MODE -1.591021e-02 -5.040604e-03
## YEARS_BUILD_MODE 1.195080e-02 3.303732e-03
## COMMONAREA_MODE 4.727368e-03 1.239107e-02
## ELEVATORS_MODE -1.940111e-02 -1.186058e-02
## ENTRANCES_MODE 2.930388e-03 5.168429e-03
## FLOORSMAX_MODE 5.490616e-03 1.902566e-02
## FLOORSMIN_MODE -4.555699e-04 -1.137717e-02
## LANDAREA_MODE 8.088406e-04 1.895005e-02
## LIVINGAPARTMENTS_MODE 5.069219e-03 -4.408648e-03
## LIVINGAREA_MODE 1.111613e-02 -2.339856e-02
## NONLIVINGAPARTMENTS_MODE 9.048629e-03 7.555103e-03
## NONLIVINGAREA_MODE -9.192921e-03 -1.032749e-02
## APARTMENTS_MEDI 3.479574e-01 3.742405e-01
## BASEMENTAREA_MEDI -1.169827e-02 -5.039082e-03
## YEARS_BEGINEXPLUATATION_MEDI -9.045527e-03 -3.281153e-03
## YEARS_BUILD_MEDI 1.487783e-01 7.164307e-03
## COMMONAREA_MEDI -3.845065e-03 6.666828e-02
## ELEVATORS_MEDI -1.860527e-01 1.947774e-01
## ENTRANCES_MEDI -1.847154e-01 1.731930e-02
## FLOORSMAX_MEDI -2.110069e-01 -8.189621e-02
## FLOORSMIN_MEDI 7.020318e-02 6.474810e-02
## LANDAREA_MEDI -1.160646e-02 -2.035279e-02
## LIVINGAPARTMENTS_MEDI -3.347543e-01 -2.063519e-01
## LIVINGAREA_MEDI 3.384389e-01 -5.011105e-01
## NONLIVINGAPARTMENTS_MEDI 4.554150e-02 -3.910480e-02
## NONLIVINGAREA_MEDI -8.749198e-03 -3.366057e-03
## TOTALAREA_MODE 2.440931e-03 -1.973460e-03
## OBS_30_CNT_SOCIAL_CIRCLE -2.808722e-03 -1.419201e-02
## DEF_30_CNT_SOCIAL_CIRCLE 1.914068e-04 -5.602679e-05
## OBS_60_CNT_SOCIAL_CIRCLE 2.602483e-03 1.392482e-02
## DEF_60_CNT_SOCIAL_CIRCLE -7.673878e-05 2.265096e-04
## DAYS_LAST_PHONE_CHANGE 7.781049e-04 -2.575508e-04
## AMT_REQ_CREDIT_BUREAU_HOUR 1.794419e-04 -2.165296e-04
## AMT_REQ_CREDIT_BUREAU_DAY -1.337274e-04 -2.477020e-04
## AMT_REQ_CREDIT_BUREAU_WEEK -5.623480e-05 8.193282e-05
## AMT_REQ_CREDIT_BUREAU_MON 3.203500e-04 -3.504111e-07
## AMT_REQ_CREDIT_BUREAU_QRT 2.947352e-04 9.480118e-05
## AMT_REQ_CREDIT_BUREAU_YEAR -1.084514e-04 -4.745118e-04
##
## $center
## AMT_INCOME_TOTAL AMT_CREDIT
## -2.781365e-17 -1.919108e-18
## AMT_ANNUITY AMT_GOODS_PRICE
## 1.125639e-16 -9.711456e-18
## REGION_POPULATION_RELATIVE DAYS_REGISTRATION
## 9.758007e-17 -9.952607e-17
## OWN_CAR_AGE CNT_FAM_MEMBERS
## -7.950294e-17 1.581170e-16
## EXT_SOURCE_1 EXT_SOURCE_2
## -3.405214e-17 1.500127e-16
## EXT_SOURCE_3 APARTMENTS_AVG
## 8.513594e-17 7.106666e-17
## BASEMENTAREA_AVG YEARS_BEGINEXPLUATATION_AVG
## 3.798954e-17 -1.098024e-15
## YEARS_BUILD_AVG COMMONAREA_AVG
## 4.317464e-16 3.398414e-17
## ELEVATORS_AVG ENTRANCES_AVG
## -6.435456e-17 -6.167041e-17
## FLOORSMAX_AVG FLOORSMIN_AVG
## 8.050119e-17 1.089390e-16
## LANDAREA_AVG LIVINGAPARTMENTS_AVG
## 3.823605e-17 6.507314e-17
## LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG
## 3.841623e-17 -2.229603e-17
## NONLIVINGAREA_AVG APARTMENTS_MODE
## -1.297489e-19 1.788808e-17
## BASEMENTAREA_MODE YEARS_BEGINEXPLUATATION_MODE
## -6.773922e-17 2.099973e-15
## YEARS_BUILD_MODE COMMONAREA_MODE
## -8.341558e-17 3.273280e-17
## ELEVATORS_MODE ENTRANCES_MODE
## 1.461869e-17 -5.180177e-17
## FLOORSMAX_MODE FLOORSMIN_MODE
## 4.096597e-17 -2.921903e-17
## LANDAREA_MODE LIVINGAPARTMENTS_MODE
## 2.937010e-17 -2.072224e-17
## LIVINGAREA_MODE NONLIVINGAPARTMENTS_MODE
## 8.744911e-18 1.717087e-17
## NONLIVINGAREA_MODE APARTMENTS_MEDI
## 9.260468e-18 4.338314e-17
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI
## -5.834240e-17 -2.457220e-15
## YEARS_BUILD_MEDI COMMONAREA_MEDI
## -1.376415e-16 3.233148e-17
## ELEVATORS_MEDI ENTRANCES_MEDI
## -4.734904e-17 5.788310e-17
## FLOORSMAX_MEDI FLOORSMIN_MEDI
## -1.125768e-16 -3.368888e-17
## LANDAREA_MEDI LIVINGAPARTMENTS_MEDI
## -1.130848e-17 -8.075473e-17
## LIVINGAREA_MEDI NONLIVINGAPARTMENTS_MEDI
## 6.846656e-17 1.466515e-18
## NONLIVINGAREA_MEDI TOTALAREA_MODE
## 2.384324e-17 1.116307e-17
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## -2.150806e-17 -5.367235e-17
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE
## -2.955770e-17 -7.580150e-19
## DAYS_LAST_PHONE_CHANGE AMT_REQ_CREDIT_BUREAU_HOUR
## -1.253340e-16 1.075892e-17
## AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK
## 3.565116e-18 1.303786e-17
## AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT
## 2.339577e-17 -5.680711e-17
## AMT_REQ_CREDIT_BUREAU_YEAR
## 5.635475e-17
##
## $scale
## AMT_INCOME_TOTAL AMT_CREDIT
## 1 1
## AMT_ANNUITY AMT_GOODS_PRICE
## 1 1
## REGION_POPULATION_RELATIVE DAYS_REGISTRATION
## 1 1
## OWN_CAR_AGE CNT_FAM_MEMBERS
## 1 1
## EXT_SOURCE_1 EXT_SOURCE_2
## 1 1
## EXT_SOURCE_3 APARTMENTS_AVG
## 1 1
## BASEMENTAREA_AVG YEARS_BEGINEXPLUATATION_AVG
## 1 1
## YEARS_BUILD_AVG COMMONAREA_AVG
## 1 1
## ELEVATORS_AVG ENTRANCES_AVG
## 1 1
## FLOORSMAX_AVG FLOORSMIN_AVG
## 1 1
## LANDAREA_AVG LIVINGAPARTMENTS_AVG
## 1 1
## LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG
## 1 1
## NONLIVINGAREA_AVG APARTMENTS_MODE
## 1 1
## BASEMENTAREA_MODE YEARS_BEGINEXPLUATATION_MODE
## 1 1
## YEARS_BUILD_MODE COMMONAREA_MODE
## 1 1
## ELEVATORS_MODE ENTRANCES_MODE
## 1 1
## FLOORSMAX_MODE FLOORSMIN_MODE
## 1 1
## LANDAREA_MODE LIVINGAPARTMENTS_MODE
## 1 1
## LIVINGAREA_MODE NONLIVINGAPARTMENTS_MODE
## 1 1
## NONLIVINGAREA_MODE APARTMENTS_MEDI
## 1 1
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI
## 1 1
## YEARS_BUILD_MEDI COMMONAREA_MEDI
## 1 1
## ELEVATORS_MEDI ENTRANCES_MEDI
## 1 1
## FLOORSMAX_MEDI FLOORSMIN_MEDI
## 1 1
## LANDAREA_MEDI LIVINGAPARTMENTS_MEDI
## 1 1
## LIVINGAREA_MEDI NONLIVINGAPARTMENTS_MEDI
## 1 1
## NONLIVINGAREA_MEDI TOTALAREA_MODE
## 1 1
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## 1 1
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE
## 1 1
## DAYS_LAST_PHONE_CHANGE AMT_REQ_CREDIT_BUREAU_HOUR
## 1 1
## AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK
## 1 1
## AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT
## 1 1
## AMT_REQ_CREDIT_BUREAU_YEAR
## 1
##
## $x
## PC1 PC2 PC3 PC4
## 72 1.960995e-01 2.036537e+00 8.210852e-01 1.650100e-02
## 125 -1.561147e+00 -1.281847e+00 1.033479e+00 -1.208403e-01
## 144 -1.959333e+00 1.271666e-01 4.891325e-01 8.531014e-02
## 153 2.358248e+01 -3.682958e-01 -6.601351e+00 -1.368536e+01
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## 41518 -1.605936e+00 -7.267963e-01 7.066468e-01 6.420620e-02
## 41532 3.358094e+00 -3.319894e-01 2.171393e+00 2.368222e-01
## 41536 1.720645e+00 2.350807e+00 2.977795e-01 1.094490e+00
## 41543 -3.007307e+00 -9.557442e-01 1.355790e-01 1.437334e-01
## 41550 3.929263e+00 -6.726839e-01 1.041680e+00 1.115999e+00
## 41552 4.091764e-01 3.044715e+00 -7.182760e-01 3.085641e-01
## 41590 -1.812194e+00 1.070519e+00 -4.460945e-01 3.359438e-01
## 41636 4.195217e+00 -6.861534e-03 -1.164150e+00 -2.345631e+00
## 41642 2.341346e+01 -9.042975e+00 -5.756361e+00 4.702511e+00
## 41666 4.288587e+00 5.624772e-04 -1.355022e+00 -3.818812e-01
## 41691 1.654035e+01 2.420667e+00 -1.749708e+00 -9.203719e-01
## 41698 -7.166701e-01 -2.294485e+00 -5.609968e-01 -2.674461e+00
## 41704 -2.392443e+00 -1.101693e-01 -7.221094e-01 -1.459498e-01
## 41714 4.738708e+00 1.970392e+00 -3.031705e+00 3.034880e+00
## 41721 4.657868e-01 9.833223e-01 -9.407228e-01 -4.646122e-01
## 41759 4.321906e+00 -1.929266e+00 -1.950630e+00 -3.551458e+00
## 41765 8.470145e+00 -3.048514e+00 2.043126e+00 8.486675e-01
## 41777 -8.678023e-01 2.572942e+00 9.853831e-01 2.730314e-01
## 41778 5.677879e+00 -4.016001e+00 1.627823e-01 -3.682552e-01
## 41783 -1.385309e+00 7.811679e-01 3.528677e+00 -1.052079e+00
## 41789 -9.521922e-02 -2.017740e+00 2.495317e+00 -8.444908e-02
## 41797 1.160948e+00 2.332115e-01 3.319118e+00 -4.374129e-01
## 41813 -4.006294e+00 -9.606426e-01 -1.571611e+00 -4.813015e-01
## PC5 PC6 PC7 PC8
## 72 1.867950e+00 2.5564953898 -0.4797973601 -6.774459e-01
## 125 9.822470e-01 1.6095384788 -0.4358019229 -1.880021e-01
## 144 -2.355945e+00 -0.7351591026 -0.7937712053 -5.040209e-01
## 153 -8.205966e-01 -0.6768001907 -1.5952402948 9.972163e+00
## 162 9.992117e-01 0.6241560412 5.2699799876 1.764717e+00
## 165 1.395323e+00 -0.5066206597 -0.7064795607 -2.516001e-01
## 250 4.496501e-01 -1.0322530118 0.6421279394 -4.111343e-01
## 256 1.962684e+00 1.1316405757 -2.1178394079 -2.989139e+00
## 297 1.049310e+00 -1.0821013640 -0.4676255637 -2.160695e-01
## 299 2.133479e+00 -0.4234845921 0.2380495549 -2.936782e-01
## 317 -1.912663e+00 -0.9511125506 0.3083946564 -2.338234e-01
## 320 -3.647343e+00 -0.0398079625 -0.5014618477 1.333307e-01
## 324 -4.430914e-01 -0.3382746059 -3.0516227992 1.083213e-03
## 329 1.661465e+00 -1.0878341430 -0.7100959751 -1.069801e+00
## 338 -3.018214e+00 -0.0161198362 0.7400464770 1.355684e+00
## 344 -3.611045e-01 -0.7635811758 -1.2440091373 -3.585959e-01
## 370 2.375330e+00 0.2912636019 0.3670097122 1.005553e-01
## 416 2.303353e+00 -1.3617062509 -1.0509385237 -2.592975e-01
## 442 -3.500171e+00 0.0514122746 0.3992182130 -2.700155e-01
## 484 -1.068496e+00 -0.6477968631 1.3615379764 -2.519356e-01
## 493 2.133089e+00 -0.7749643842 -0.4836117908 -8.505394e-02
## 581 1.838766e+00 -0.7290028805 -0.5866384949 -2.146141e-01
## 592 -1.272596e+00 -0.6160904382 -0.8948456943 7.609342e-01
## 627 -7.345478e-01 -0.3325176715 0.4928458292 -1.635387e-01
## 697 -4.452413e-01 -0.6959849038 0.0821600421 -2.083319e-01
## 702 -1.911476e+00 -0.9498602577 3.2439727620 9.690699e-02
## 740 -2.575610e+00 -0.7708640722 1.3456965061 -2.078682e-01
## 766 -3.299352e+00 0.0330947123 -0.5918820559 -6.985581e-01
## 804 -1.165494e+00 -0.8534370948 -0.4368290053 -3.806150e-01
## 863 -9.469246e-01 -0.0804743745 0.4330931441 -3.636369e-01
## 902 -3.225741e+00 -0.7807018626 0.8862488206 -1.230953e-01
## 918 -1.886153e-01 -0.9077910103 1.2010730403 2.610793e-01
## 976 4.166474e-02 -0.6896442412 -0.1224966373 -4.595488e-01
## 993 2.103043e+00 6.4312818653 2.3309194008 1.416600e+00
## 1002 2.434544e+00 -1.3578111689 1.0917466499 1.290192e-01
## 1009 1.490595e+00 -1.2226333398 0.0677550932 -5.529685e-01
## 1048 -1.281411e-01 -0.6573273599 -1.0124254727 -4.693441e-01
## 1050 1.012598e+00 -0.0581606139 1.2652301607 -1.085382e-01
## 1142 2.197823e-02 -1.0394640655 -0.1454675505 1.013534e+00
## 1154 -1.463746e+00 -0.3231918654 0.2571496873 -2.360418e-02
## 1165 1.562757e+00 -1.2517038634 -0.4374923918 -2.372800e-01
## 1208 2.121885e-02 3.4867941304 -0.7403409568 -3.263290e-01
## 1230 1.150694e+00 -1.3245847858 1.5521385289 3.810487e-01
## 1239 -2.628028e-01 -0.2223298122 -3.0912008589 -1.349133e+00
## 1241 -2.878209e-01 -0.7741208014 0.0593517351 1.042994e+00
## 1251 -6.472095e-01 -0.8610244931 -1.6047456384 -5.034922e-01
## 1256 -1.933649e+00 2.0735950960 -0.5891686839 1.793725e+00
## 1267 -8.760129e-01 0.2942694361 -0.3702796175 -2.387240e-01
## 1280 -5.657956e-01 -1.2421491242 -1.0894705047 1.255648e+00
## 1289 -8.856246e-01 0.2743765481 0.2703881272 -6.174950e-02
## 1351 1.470565e+00 -1.2982049996 0.1523008271 3.569651e-02
## 1364 -1.363644e+00 -0.5689249392 0.6114387230 6.592439e-01
## 1371 1.060482e+00 -1.0611465512 0.4002858407 8.391042e-02
## 1409 -1.663333e+00 2.3819832832 -0.2113463425 -2.893927e-01
## 1427 1.774264e+00 -1.0134579572 0.5759404480 -2.246385e-01
## 1431 1.389909e+00 -1.1555726587 -0.5796961323 -2.488562e-01
## 1458 -1.286260e+00 -0.9847952693 8.1999426830 2.256286e+00
## 1472 6.152958e-01 3.3080012773 -0.8979279792 -2.154739e-01
## 1510 1.784231e+00 -0.1321716839 1.0066481359 -1.961124e-01
## 1537 1.475807e+00 -0.4980045907 0.3991499379 1.377473e-01
## 1567 -1.323753e+00 0.2021379226 -1.0820834280 -2.583979e+00
## 1692 -2.092078e+00 -2.2989159064 15.2701926308 4.111221e+00
## 1720 -9.469032e-01 -0.5510747299 -0.5593030158 -5.284752e-01
## 1728 -2.258779e-01 2.6728445805 0.1999615989 -2.583706e-01
## 1802 4.001331e-01 -0.8281161312 0.4891154054 -1.148162e-01
## 1809 -7.182056e-01 0.0227604561 -0.5607214104 -1.063408e+00
## 1816 3.478868e-01 1.2201022974 -1.1143912345 -4.840177e-01
## 1831 -1.318181e+00 -0.0355495480 0.9528820319 -3.018774e-01
## 1842 -3.612677e-01 -0.5029715494 -3.5086049549 3.464607e+00
## 1866 -2.842425e+00 1.4237158116 1.1493559892 -6.199058e-01
## 1880 -6.941256e-01 -0.7119510054 0.2024934231 -1.966648e-01
## 1896 1.238953e+00 -1.1231080810 0.5800879853 1.132384e-01
## 1915 2.593469e-01 -0.7427693868 0.1168648845 8.290814e-02
## 1942 1.635286e+00 -1.2351893696 -0.2935313633 -4.240865e-01
## 1943 2.372801e+00 1.2926549188 0.1567440017 -5.773083e-02
## 1971 2.850909e-01 0.8022247612 -0.9135010261 -3.584001e-01
## 2010 -2.689945e+00 0.1651379347 0.2299517112 1.071645e+00
## 2032 9.906873e-01 0.5053614141 0.0122379202 -1.148986e-01
## 2137 6.754253e-01 5.2438925782 0.2277813746 -1.398167e-01
## 2168 1.608229e+00 -0.7137452074 -0.0976759216 -6.408014e-01
## 2193 -2.741345e-01 -0.2694690859 0.1934733818 1.364353e+00
## 2269 9.196428e-02 -0.1032043958 0.3236303880 -3.506910e-01
## 2323 -1.323042e+00 -1.1875260047 -0.8372488848 -1.066298e-03
## 2344 -8.775985e-01 -0.4504478998 -0.0761621658 -4.685336e-01
## 2398 -1.188938e+00 1.4498908058 1.4689734575 -2.369961e-03
## 2414 -4.654001e-01 1.4246919077 -2.6084269676 4.548615e+00
## 2418 -2.839093e-01 3.6515430785 -0.4765677670 -2.633816e-01
## 2419 -3.075982e+00 -0.6523386209 -0.2224660944 4.454043e-01
## 2423 -5.829039e-01 -0.8953811122 0.5017861923 -4.726262e-01
## 2463 -2.204869e+00 -0.8301128271 0.1130124571 -2.374741e-01
## 2481 -1.562231e+00 -0.7446011370 -0.0018532955 -1.366207e-01
## 2497 8.496296e-02 -1.3870392806 -0.1002384667 2.467249e-01
## 2514 -3.170704e+00 -0.0278411596 2.1631914927 3.201610e-02
## 2582 1.471708e+00 0.4798326445 -0.9210135547 4.059127e+00
## 2633 -3.280375e-01 -0.8146719744 -1.2520550719 -4.646443e-01
## 2639 9.218545e-01 -1.1988214202 0.7085426305 -2.901449e-01
## 2654 8.568132e-01 -1.1722327930 0.6902006650 2.254751e-01
## 2673 -1.308378e+00 -0.6286638876 -0.1808482778 3.600731e-01
## 2706 9.185136e-01 -1.3782679637 0.0369844949 8.877128e-01
## 2713 1.797735e+00 -0.6887705720 2.0697382287 4.316718e-01
## 2785 -8.866525e-01 -0.2024351337 0.2177072232 3.384286e-02
## 2881 8.196212e-02 -0.4629305731 0.8147572717 4.369527e-02
## 2889 5.177633e-01 1.7566137084 -0.3882419928 -1.870008e-01
## 2923 -1.428822e+00 -0.6403533736 0.8305499928 7.239839e-02
## 2929 1.499603e+00 -1.1679263324 2.1223143791 3.501558e-01
## 2939 -1.953317e+00 -1.0514234986 -0.5587802272 1.019994e+00
## 2948 -9.436849e-01 -0.2161771714 -0.7505032877 -6.293777e-01
## 2953 -1.394060e+00 -0.8051197725 0.9293278422 4.500530e-02
## 2987 1.030114e+00 -1.0262674174 -0.2060744377 1.780595e-01
## 2996 -8.349617e-01 -1.2335493077 -0.0512380445 1.113074e+00
## 3013 -4.435751e-02 -0.5803109230 -0.5028879868 -3.412760e-01
## 3069 5.473250e-01 -0.3473795348 -0.3313989086 -1.640094e-01
## 3083 1.571159e+00 -0.5745223579 -0.4841230547 -2.950019e-01
## 3148 6.114421e-01 -1.2140299732 -0.7418345332 -1.983507e-01
## 3181 1.897707e+00 8.5186292678 1.2194943962 1.563712e-02
## 3188 2.198005e-02 3.3105941106 0.7334915514 1.971110e+00
## 3210 -2.507784e+00 0.5971145472 1.2470219510 1.189275e-01
## 3220 1.226248e+00 -1.1385746959 0.2753666916 -1.236148e-01
## 3225 5.116944e-01 -0.9846221216 -0.0488856946 -3.956529e-01
## 3232 -1.799877e+00 -0.3747504140 1.5037645576 1.026764e+00
## 3254 3.265229e-02 1.3572964227 -0.9108292950 1.612592e-02
## 3356 6.144560e-01 -1.2229412819 0.4163359700 4.237715e-01
## 3357 -1.242395e+00 -0.8573606283 -0.6817238002 -3.660404e-01
## 3379 5.480902e-02 -0.5698681305 -0.1986247588 7.079765e-01
## 3391 -1.347974e+00 -0.8182271823 -0.6605792733 -4.113779e-01
## 3417 -2.944289e-01 -0.2427758510 0.5599634866 1.363330e+00
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## 3445 -1.638226e+00 1.3996797415 0.2246223844 -1.633388e-01
## 3534 8.583467e-01 -1.1160476963 0.5296453073 -3.242212e-02
## 3615 1.657403e-01 -0.5858670656 1.9308171990 5.867503e-01
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## 3680 -4.339340e+00 1.1288647640 -0.0928819982 -6.329015e-01
## 3713 -9.743298e-01 2.3728336284 0.3436995684 7.977818e-01
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## 4301 2.732467e+00 -1.3163607142 1.5218668992 4.066693e-01
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## 4360 -2.332932e+00 1.8404517287 -0.2446025776 -5.168384e-01
## 4378 2.565517e+00 -1.3469251989 2.6558089389 6.273829e-01
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## 4799 1.516428e+00 0.4270546811 0.1120097473 1.781235e-01
## 4872 2.714785e+00 -0.6974788982 1.7398539403 2.171736e-01
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## PC9 PC10 PC11 PC12
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## 1866 2.671759e-01 -1.0540301854 -4.595986e-01 3.2628275700
## 1880 3.560168e-01 -0.6431269202 -6.452417e-01 0.9294735510
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## 40022 -8.086539e-01 0.8001727679 -2.460511e-01 0.5730021618
## 40023 -2.934660e-02 1.2054032509 2.375705e-01 0.0898506229
## 40026 -1.826516e+00 0.3796587308 2.210629e-01 -0.4299406720
## 40032 1.747847e+00 -0.0576567223 -2.914347e-01 0.1353100838
## 40036 3.041441e-01 -0.7024325898 -2.239761e+00 -0.3220359173
## 40037 3.524026e-01 -0.3072739618 -3.248135e-01 0.2919194838
## 40074 2.884928e+00 -2.2690953195 1.123790e+00 0.2337600445
## 40080 -8.146355e-01 1.6276403149 1.661860e-01 0.9616108053
## 40084 -5.449886e-01 0.8767796910 -4.832153e-03 -1.4931644733
## 40118 4.034206e-01 1.3691783196 1.711533e+00 0.8198855957
## 40166 3.703713e+00 -0.0656708938 1.074683e-01 -1.4660856632
## 40171 -4.172891e-01 0.5477289437 -4.401168e-02 -1.1292354085
## 40184 1.291200e+00 0.6882165925 -1.755401e-01 0.8120169341
## 40193 7.494128e-01 1.3930513390 -6.446340e-01 -0.3981994125
## 40215 4.014594e-02 -0.0451102239 2.124135e-01 -0.3821004417
## 40244 -1.198550e+00 0.6451579433 -4.324291e-01 0.9758730789
## 40279 -2.386542e-01 -0.0473349216 -2.551885e-01 0.1689315662
## 40287 -7.049673e-01 0.5808905007 1.517789e+00 0.0225791334
## 40294 4.123075e-01 -1.5668254942 -4.256981e-01 0.8320225930
## 40300 1.174403e-01 0.6429074986 7.589974e-01 -0.4237080400
## 40339 3.287152e-01 -0.5815692660 2.643748e-01 -0.6973933826
## 40397 1.231846e+00 -2.3899434202 -1.310574e-01 0.1856554474
## 40408 -1.117683e+00 -0.3471422755 2.392934e-01 -1.8717383490
## 40425 -3.608196e-01 1.6785101110 -6.645284e-01 0.8052338593
## 40473 3.398432e-01 -0.7972357712 -2.396748e+00 0.2320812522
## 40476 -1.019541e-01 0.9462989504 2.468352e-01 -0.1768686367
## 40479 -1.573266e+00 -1.3224457564 -2.737641e-01 1.3588110922
## 40516 9.628632e-01 -1.0163763589 -3.491202e-01 -0.5131843384
## 40536 -1.580766e-01 -0.6501071771 -3.883423e-01 -0.5891442022
## 40538 1.328185e+00 -0.4385419379 4.271583e-01 -0.7703626676
## 40541 -7.396467e-01 -1.0649890028 2.932390e-01 -1.3077967077
## 40608 1.583545e-01 1.1260044782 -2.871538e-01 -1.2222027575
## 40660 1.230130e-01 0.5648680899 -5.801449e-01 1.9881239157
## 40661 3.113517e-01 -0.1679123206 -1.329606e+00 0.5098837561
## 40676 -2.614384e-01 1.6901494530 2.684651e-02 -0.0337625134
## 40690 -7.502948e-01 1.2924790172 4.350266e-01 0.0624596157
## 40719 1.078023e+00 -0.5797408644 3.202940e-01 1.3635111909
## 40741 3.778063e-01 0.0082632889 -4.060161e-01 1.2280078631
## 40781 -5.328031e-01 1.4343409895 -9.790260e-01 -1.0914538193
## 40824 3.145697e-03 0.5060366106 8.489269e-01 1.3965318844
## 40847 -2.803761e-01 0.7802275933 -3.001673e-01 -0.3948357092
## 40849 7.599261e-01 -0.0715127368 -6.500944e-02 0.1467085877
## 40853 5.130038e-01 0.3920814980 -2.535043e+00 -0.5573693837
## 40858 2.271862e+00 -1.2481563763 -2.393442e+00 -2.7350020878
## 40887 7.556080e-01 2.0424013461 -3.126675e-01 0.6846058907
## 40907 2.162529e-01 -0.9411919614 1.982718e+00 -0.0045606308
## 40933 6.983567e-02 0.3873952694 8.478222e-01 -1.2336533174
## 40956 -4.289199e-01 1.7692487903 -1.406484e-01 -0.9612074719
## 40989 4.163467e-01 0.1987812324 3.187314e-01 0.3521626547
## 41008 5.933297e-01 -0.0505761816 -3.403112e-01 1.3370154403
## 41018 -1.571335e-01 0.1000453084 2.203964e+00 -0.8863830198
## 41107 5.293975e-02 -0.1460554419 1.891786e+00 -0.2964644353
## 41209 8.139394e-01 -0.6107505026 -3.427461e-01 -0.1983371946
## 41224 -3.569354e-01 0.4311858337 -4.034537e-01 -0.7748434364
## 41255 -1.143756e-03 -0.0857740143 -2.267545e-02 -0.1006495233
## 41288 4.519760e-01 0.5068424135 5.106285e-02 1.0380977118
## 41304 1.972908e+00 0.6357019547 -3.760755e-02 -1.0298198139
## 41318 -6.664584e-01 1.3088798874 5.533058e-01 -0.7335372392
## 41384 -5.454020e-02 -0.6907226944 -2.692890e-01 0.0398133341
## 41408 1.509152e-01 -0.6609070535 -1.279175e-01 -0.7889728634
## 41422 2.071317e-01 -1.3485380317 6.831490e-02 -0.4947102611
## 41434 4.810365e-01 1.7595010143 3.016244e+00 -0.7173366782
## 41446 7.118920e-01 -0.3205962532 1.369445e+00 -0.6362031952
## 41494 1.905093e-01 -0.1784469976 -9.392172e-01 -0.0769337821
## 41501 7.563627e-01 -0.9010890635 -4.439958e-01 0.4877997975
## 41518 7.751304e-01 -1.0857233192 3.315181e-01 -0.1620845319
## 41532 8.824754e-01 0.5027684920 2.559110e+00 0.0772458827
## 41536 7.688095e-01 2.5778566396 -5.345777e-01 1.3170592012
## 41543 4.609397e-01 -1.0452011370 -5.578517e-01 0.6111746023
## 41550 6.197837e-01 0.6369326073 -8.429846e-03 -2.1700835041
## 41552 -1.635223e+00 -0.1167513369 -3.170679e-01 0.8596951116
## 41590 -3.494083e-02 -0.2582735495 -1.710017e-01 -0.1370479868
## 41636 -4.950906e+00 -0.0636572722 7.267530e-01 1.2396847116
## 41642 8.884608e+00 0.1235894064 -2.699379e-01 -2.9208845631
## 41666 1.358735e-01 0.3510624922 4.435019e-01 -0.5221101513
## 41691 -1.034690e+01 -1.0908449650 -2.150816e-01 1.4898410994
## 41698 4.231402e-02 -0.8196426964 1.060707e-01 0.4816941385
## 41704 6.426057e-01 -1.5230314892 -5.008980e+00 -0.4257994001
## 41714 3.164673e+00 -0.9843032262 -3.423951e-01 0.7129462135
## 41721 -3.135407e+00 0.1187125548 4.484001e-01 -0.6480014678
## 41759 -7.277013e-01 -1.8815790328 -4.532884e-01 -0.0911309552
## 41765 -2.908797e-01 -1.9399330538 6.889220e-02 -0.5516033563
## 41777 -4.448215e-01 0.9110539512 -5.491372e-01 0.7630049382
## 41778 8.827257e-01 0.4562482916 -3.504042e-02 -1.8993485558
## 41783 -2.410820e-01 2.4348389616 -8.663666e-02 0.0269088307
## 41789 -2.109433e+00 0.1757153259 -2.175299e+00 0.6945834847
## 41797 7.439523e-01 -0.0029740562 1.050685e+00 0.6830451388
## 41813 3.283892e-01 -1.8779362605 -2.056248e-01 -0.2295750447
## PC13 PC14 PC15 PC16
## 72 1.487900e+00 -8.129966e-01 -3.584625e-01 8.302456e-02
## 125 4.571875e-01 -7.607232e-01 2.553396e-02 8.855169e-01
## 144 6.928961e-01 -7.987786e-01 5.465137e-01 -1.168362e+00
## 153 3.531694e-01 -4.857482e-01 -7.429626e-01 -6.899927e-01
## 162 -7.622800e-01 -1.400198e-01 9.604963e-02 3.695704e-01
## 165 -1.811192e-01 -5.765825e-02 -2.706465e+00 -1.665052e-01
## 250 2.181990e-01 1.367870e-01 -5.018673e-01 5.242932e-01
## 256 1.593792e-01 1.088679e+00 1.570714e+00 1.740320e-01
## 297 -7.688756e-02 2.197674e-01 6.531435e-01 -1.239511e+00
## 299 -5.710597e-01 3.739514e-01 2.506145e-01 -4.271613e-01
## 317 -3.908090e+00 -4.433361e+00 4.647889e-01 8.595254e-01
## 320 -1.170135e-01 4.648987e-01 3.797333e-01 -8.397506e-01
## 324 -1.126505e+00 -9.324255e-01 3.274835e-01 5.219584e-01
## 329 -2.899579e-01 1.252145e-01 3.946700e-01 -1.174126e+00
## 338 -3.006569e-01 -2.595162e-01 4.383002e-01 -6.745611e-01
## 344 -7.475638e-02 -8.695124e-01 -1.302483e-01 2.863896e-01
## 370 -6.264381e-01 9.053176e-01 2.810588e+00 -7.065417e-01
## 416 -4.979044e-01 8.125274e-01 1.214339e+00 -2.376550e+00
## 442 4.788267e-01 1.346919e+00 -3.165533e+00 -1.214263e-01
## 484 2.753199e-01 3.823669e-01 -6.464179e-01 -9.697467e-01
## 493 -2.427313e-01 2.044869e+00 -7.045690e-01 4.953867e-01
## 581 -3.150100e-01 4.097132e-01 1.503021e+00 -2.314023e+00
## 592 2.533661e-01 -1.034559e-01 6.643102e-01 1.707914e+00
## 627 2.927678e-01 2.099712e-01 1.598075e-01 -2.091903e-01
## 697 3.218602e-01 8.313946e-02 9.797708e-01 -1.203974e-01
## 702 -2.105482e-01 7.743056e-01 7.281893e-01 1.029057e+00
## 740 -5.292337e-02 -3.754311e-01 3.704750e-02 -2.042738e+00
## 766 -3.102186e-01 3.933583e-01 2.986682e-02 -1.438536e+00
## 804 1.968723e-01 -8.483708e-01 -9.381912e-01 1.815298e+00
## 863 -5.359561e-01 7.682285e-01 5.690205e-01 -9.308656e-01
## 902 1.081001e+00 -2.992666e-01 -3.477211e-01 5.226935e-01
## 918 4.263267e-01 -2.570756e-01 8.958303e-02 6.951537e-01
## 976 -4.030886e-02 -5.451213e-01 1.782969e-01 -1.717642e+00
## 993 9.652200e-01 -4.279176e-01 1.048422e+00 3.746320e-01
## 1002 -6.060573e-01 1.423577e+00 5.051521e-01 -1.866788e+00
## 1009 -1.340424e-01 1.049214e+00 -1.254803e+00 6.177880e-03
## 1048 -1.530551e-01 -8.691690e-01 -1.030678e-01 -1.129304e+00
## 1050 -2.330779e+00 -8.384344e-02 -9.521298e-01 2.254996e-01
## 1142 8.009103e-01 -9.147061e-02 8.214953e-02 1.004442e+00
## 1154 1.530374e+00 -5.520935e-01 -3.873475e-01 2.349052e+00
## 1165 9.047923e-01 -1.056502e+00 6.452982e-01 4.813594e-01
## 1208 7.595405e-02 9.855002e-01 1.954640e+00 -3.928408e-01
## 1230 1.904877e-01 4.649553e-02 3.369754e-01 3.852705e-01
## 1239 -3.818741e-01 5.643690e-01 -7.053047e-01 1.069612e-01
## 1241 3.226813e-01 6.898110e-02 1.047004e+00 -4.139841e-01
## 1251 3.303200e-01 -4.796320e-02 -1.140901e+00 1.391519e+00
## 1256 -1.610769e+00 -4.719662e-01 -1.978747e+00 -1.273345e+00
## 1267 -2.782105e-01 -1.870466e-01 -5.100336e-01 2.884875e-01
## 1280 7.879705e-01 -1.205985e+00 8.721710e-02 1.883011e-01
## 1289 -4.145477e-01 7.013375e-01 -1.644546e-01 1.846967e-01
## 1351 -7.450180e-01 8.385061e-01 4.119806e-01 1.582301e-01
## 1364 7.033731e-01 -1.103954e+00 2.050926e-01 8.568684e-01
## 1371 5.955328e-02 -2.443183e-01 4.901242e-01 9.172777e-01
## 1409 9.795360e-01 4.355180e-01 -1.539189e+00 7.641797e-01
## 1427 -2.691928e-01 8.114145e-01 -2.726988e+00 -2.753180e-01
## 1431 -7.789610e-01 4.960406e-01 2.461221e-01 -1.260873e-01
## 1458 -1.259771e+00 3.473795e-01 -2.740350e-01 -7.850206e-01
## 1472 -6.215253e-01 5.379189e-01 -6.015647e-01 1.163272e+00
## 1510 -4.436469e-01 1.395429e+00 -4.021684e+00 -9.810966e-02
## 1537 5.779859e-01 4.207982e-01 1.768812e+00 1.397302e+00
## 1567 2.656880e-01 4.912158e-01 1.309782e-01 -2.561845e-01
## 1692 -1.977367e+00 2.018972e+00 -1.263266e+00 -5.044817e-01
## 1720 -2.654891e+00 7.025621e-02 -1.716143e+00 -1.084086e+00
## 1728 3.486157e-02 2.618273e-01 -3.703312e-01 -9.174151e-01
## 1802 2.550251e-01 -1.080341e-01 -5.125711e-01 -6.310414e-01
## 1809 -6.544883e-01 9.946808e-01 -2.977966e-01 -1.315188e+00
## 1816 4.140748e-01 -8.247917e-01 1.552119e+00 -1.937771e+00
## 1831 1.284026e-01 4.389873e-02 4.308595e-01 -8.795222e-01
## 1842 1.016506e+00 -1.207802e+00 5.583643e-01 1.622316e+00
## 1866 1.922766e+00 -1.113087e-02 1.086516e+00 2.281737e+00
## 1880 -4.884929e-01 1.770600e+00 -2.748008e+00 -1.855102e-01
## 1896 -3.353330e+00 -3.614339e+00 -4.838832e-02 2.650458e-01
## 1915 -8.659259e-01 1.592244e+00 -2.039474e-01 -9.595775e-01
## 1942 2.177542e-01 2.933185e-01 1.118136e+00 -5.528978e-01
## 1943 -2.478254e-01 1.434397e+00 -7.091929e-01 1.271352e+00
## 1971 2.977129e-01 -2.937121e-01 -1.194355e+00 3.292284e+00
## 2010 -5.467714e-01 1.896027e+00 -1.617480e+00 5.798900e-01
## 2032 -6.572526e-02 3.970301e-01 1.177919e+00 -1.480001e-01
## 2137 8.449122e-01 -1.232701e+00 -4.720119e-01 2.646324e-02
## 2168 6.605906e-01 -1.499771e-01 1.973637e+00 1.027918e+00
## 2193 3.308905e-01 -2.310808e-01 1.943992e-01 -4.368630e-01
## 2269 -5.440176e+00 -4.074913e+00 8.783767e-02 1.471442e+00
## 2323 1.166759e+00 -1.350218e+00 8.763402e-02 5.416588e-01
## 2344 -3.491145e-01 6.685075e-01 -5.621890e-01 2.007719e-01
## 2398 3.178332e-01 -1.065155e-01 4.322291e-01 -1.547505e-01
## 2414 2.524394e-01 -3.958060e-01 7.367915e-01 -1.407364e+00
## 2418 -1.171685e+00 9.373678e-01 6.063307e-01 -9.015349e-01
## 2419 4.683943e-01 -3.938072e-01 5.759831e-01 6.592994e-01
## 2423 -1.878601e-01 7.508045e-01 7.061560e-01 -7.337445e-01
## 2463 5.960987e-01 7.363375e-01 -1.513383e+00 -9.800054e-01
## 2481 7.576621e-01 -6.872034e-01 5.619368e-01 -4.957000e-02
## 2497 5.071503e-01 -1.019387e+00 6.775614e-01 -1.086631e+00
## 2514 4.641699e-01 1.654851e-01 1.165140e+00 -2.238693e-01
## 2582 -7.202764e-01 1.202774e+00 6.640631e-01 -1.247497e+00
## 2633 6.617120e-01 5.902629e-01 1.774895e-01 -2.301681e-02
## 2639 5.362234e-01 5.900075e-01 -5.728397e-01 -8.459487e-01
## 2654 8.199432e-02 2.369302e+00 -1.956486e+00 1.732093e+00
## 2673 -2.215028e+00 -1.345851e+00 1.237536e-01 -1.418705e-01
## 2706 7.297642e-01 -4.263151e-01 1.483917e+00 1.293171e+00
## 2713 -2.736451e-01 1.753232e+00 -3.497904e-01 6.222755e-01
## 2785 -9.904706e-01 5.640800e-01 4.465374e-01 -1.387717e+00
## 2881 7.464761e-01 -3.684563e-01 1.028466e+00 1.478649e+00
## 2889 4.326201e-01 -1.754721e-01 8.683833e-01 1.886749e+00
## 2923 7.146095e-02 7.498753e-01 9.120778e-01 3.091577e+00
## 2929 -4.258461e-01 2.093841e-01 2.454013e-01 -1.115010e+00
## 2939 5.774361e-01 -1.543342e-01 4.061581e-01 7.694387e-01
## 2948 -8.941156e-01 -1.346319e-01 -4.633445e-01 -1.077079e+00
## 2953 8.849105e-01 -1.358395e+00 6.890262e-01 -1.180802e-01
## 2987 -1.951779e-01 5.232590e-02 -2.689571e-01 6.324951e-01
## 2996 1.203762e+00 1.032922e+00 -2.949559e+00 1.919690e-01
## 3013 8.289149e-01 4.512839e-01 5.205737e-01 3.371460e-01
## 3069 -1.166845e-01 1.496929e+00 1.291274e+00 -8.312031e-01
## 3083 -2.042275e+00 -6.117996e-01 -5.830681e-01 1.431220e+00
## 3148 3.310305e-01 -1.835926e-01 6.692895e-01 -1.159199e+00
## 3181 2.044350e+00 -1.697968e-01 1.962221e+00 -9.557373e-01
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## 3210 -3.186913e-01 7.396081e-01 -1.892215e-01 5.778873e-01
## 3220 3.071377e-01 1.873444e-01 3.021990e-01 -1.050222e+00
## 3225 6.745148e-01 -1.377320e+00 -1.558492e-01 6.095095e-01
## 3232 -5.188855e+00 -2.411755e+00 -7.816344e-02 -2.928989e-01
## 3254 -3.988029e-01 -7.422933e-01 -2.738136e-02 -5.903171e-01
## 3356 6.900383e-02 -1.096935e-03 1.791749e+00 -6.605921e-01
## 3357 1.054618e+00 4.030263e-01 -2.664646e-01 9.474091e-01
## 3379 2.326006e-02 -5.584176e-01 1.115681e+00 -1.375684e+00
## 3391 -1.333801e-01 2.990903e-01 7.882027e-01 8.806208e-01
## 3417 2.420014e-01 5.636329e-01 8.675809e-01 2.990494e-01
## 3436 7.056361e-01 -9.617054e-01 6.537013e-01 3.413282e-01
## 3445 -3.534474e+00 -3.613337e+00 -9.012732e-02 1.767535e-01
## 3534 3.966394e-01 -2.791232e-02 7.454487e-01 -1.640203e+00
## 3615 5.765846e-01 1.679528e-01 -5.365824e-01 1.324030e-01
## 3645 -1.522550e-01 -3.168726e-01 3.742171e-01 -1.008399e+00
## 3657 -2.121341e-01 1.272144e+00 1.295408e-01 -1.675138e-01
## 3680 -5.016007e-01 -1.834155e-01 -7.581504e-01 -3.589001e-01
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## 39796 7.153310e-01 8.060950e-01 -1.431774e+00 1.097973e+00
## 39821 -8.080922e-01 1.571418e+00 -8.110110e-01 -8.989350e-01
## 39836 -1.205779e-01 4.227041e-01 -1.497819e+00 5.202861e-01
## 39845 9.677242e-03 -9.473216e-02 2.054931e-01 1.729749e+00
## 39863 -1.174312e-01 -2.628354e-01 -1.413690e-01 -5.032970e-01
## 39892 3.654582e-01 -2.936001e-01 5.217296e-01 9.425780e-01
## 39921 1.585154e+00 -7.680130e-01 8.021741e-01 6.070829e-01
## 39924 4.944978e-01 2.284543e-01 4.227459e-01 -9.768093e-01
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## 39961 7.954182e-02 -9.471610e-02 1.235468e-01 1.229733e+00
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## 40008 -5.460765e-01 1.233562e+00 -2.428652e+00 -1.356616e+00
## 40022 6.941770e-01 1.885770e-01 6.370908e-01 9.622208e-01
## 40023 4.671585e-01 3.975771e-01 1.184407e-01 -4.206173e-01
## 40026 -1.996482e-02 2.688501e-01 9.118004e-01 1.270342e+00
## 40032 -4.803022e-03 5.559486e-01 1.334310e+00 -4.026953e-02
## 40036 8.317796e-01 -6.962677e-01 1.243069e+00 -5.151905e-01
## 40037 2.527247e-01 -8.459543e-03 5.724417e-01 -3.043101e-01
## 40074 -3.602221e-02 -3.902325e-01 -8.807686e-02 4.920460e-01
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## 40084 -4.543902e-01 3.135327e-01 6.913066e-01 5.353252e-01
## 40118 -3.361703e-01 1.098793e+00 -4.767825e-01 1.156246e+00
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## 40171 -2.113668e-01 4.292924e-01 -1.210219e+00 7.159960e-01
## 40184 1.394268e+00 -4.143593e-01 6.544231e-01 1.325068e+00
## 40193 -2.618597e+00 -1.139620e+00 -1.070936e+00 4.285362e-01
## 40215 5.821616e-01 1.646755e-01 -1.218276e+00 9.917632e-01
## 40244 5.450219e-01 2.877480e-01 1.477610e+00 -2.581318e+00
## 40279 -1.827551e-01 6.742775e-01 -1.158513e+00 9.702481e-01
## 40287 3.687424e-02 2.374084e-01 7.405599e-01 9.674857e-01
## 40294 -2.661416e-01 3.217618e-01 -3.027710e+00 -5.233635e-01
## 40300 -1.790346e-01 1.825403e-01 7.521284e-01 -3.300731e-01
## 40339 -1.303952e-01 -4.121377e-01 -2.151877e-01 -1.604091e+00
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## 40476 2.165082e-01 2.337417e-01 -3.458467e-02 1.268186e+00
## 40479 1.348720e-01 2.753635e-01 2.843983e-01 -1.102948e+00
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## 40538 -2.912923e-01 4.408416e-01 -5.458570e-01 1.444897e-01
## 40541 -4.046822e-01 -4.537085e-01 8.847882e-01 -8.839416e-01
## 40608 -6.190954e-01 3.835169e-01 1.031684e-02 -1.103364e+00
## 40660 2.272823e-01 1.270821e+00 7.466381e-01 -7.631287e-01
## 40661 6.471724e-01 -2.983025e-01 7.753747e-01 -2.084616e+00
## 40676 1.254008e-01 4.481252e-01 6.880763e-01 -2.081799e+00
## 40690 6.412645e-01 -8.926269e-02 2.511390e-01 1.392141e+00
## 40719 4.540182e-02 4.817440e-01 -1.576213e+00 -8.963486e-01
## 40741 5.834845e-01 3.500767e-01 2.811316e-01 2.282844e-02
## 40781 4.984905e-01 -4.440243e-01 -4.159607e-01 -7.037317e-01
## 40824 3.048971e-01 6.959705e-01 1.335669e+00 -8.633114e-01
## 40847 -2.844931e-01 9.054283e-01 -1.757890e+00 3.150251e-01
## 40849 8.820169e-01 -6.000854e-01 7.829150e-01 5.176640e-01
## 40853 1.068173e+00 -3.136690e-01 8.753891e-01 1.416342e+00
## 40858 4.149714e-01 -1.591511e+00 -3.763849e-01 -4.699385e-01
## 40887 4.763379e-02 1.640116e+00 -8.924039e-01 1.519565e-01
## 40907 -6.625382e-01 2.966230e-01 1.508817e+00 3.847641e-01
## 40933 4.578011e-01 -1.027749e+00 1.108456e+00 3.438601e-01
## 40956 3.412708e-02 2.331744e-01 8.944490e-01 -1.058373e+00
## 40989 3.975260e-01 7.020418e-01 -1.916607e+00 -9.165654e-01
## 41008 1.061587e+00 -2.725917e-01 9.007406e-01 -3.541540e-01
## 41018 -9.910309e-01 3.541216e-01 1.210576e+00 -1.992668e+00
## 41107 -3.972828e-01 -6.022065e-02 4.219291e-01 8.165112e-01
## 41209 -2.627109e-01 2.612231e-01 1.441768e-01 -2.770091e-02
## 41224 -3.913080e-01 2.794046e-01 1.289750e+00 -1.438907e+00
## 41255 7.997115e-01 -6.610014e-01 1.336273e+00 1.562635e+00
## 41288 5.570545e-01 2.580282e-01 1.218134e+00 -1.223664e+00
## 41304 -1.851449e-02 -6.651431e-03 6.220202e-01 6.840934e-01
## 41318 -3.894059e-01 8.386906e-01 2.987700e-01 -1.103216e+00
## 41384 1.907627e-01 6.862012e-02 -1.043161e+00 -7.150927e-01
## 41408 1.101778e-01 -5.607236e-01 3.603376e-01 -7.380839e-02
## 41422 2.187155e-01 -2.803508e-01 -1.266842e+00 -1.798608e-01
## 41434 -3.068786e+00 -1.375693e+00 -7.450041e-01 -3.001388e-01
## 41446 2.278103e-01 -6.517821e-01 -2.912169e-02 1.080728e+00
## 41494 -4.413537e+00 -4.207645e+00 2.290812e-01 -5.894952e-01
## 41501 -3.292961e-01 7.878427e-01 -6.537017e-01 -4.017055e-01
## 41518 8.153720e-01 -1.353621e+00 -2.057889e-01 -1.021867e+00
## 41532 -8.326808e-01 1.357752e+00 -1.067368e+00 -8.094647e-01
## 41536 -1.796861e+00 -4.057680e-01 -5.922607e-01 1.305079e-01
## 41543 -4.038464e-01 8.697647e-01 -3.655677e-01 -7.917007e-01
## 41550 -1.399949e-01 -8.848293e-01 7.690570e-01 -1.492977e+00
## 41552 6.085486e-01 9.621047e-04 2.969563e-01 -1.530458e+00
## 41590 3.656061e-01 -2.138616e-01 6.042794e-01 7.959014e-01
## 41636 -2.155430e+00 -1.282959e+00 5.371500e-01 2.196828e-01
## 41642 -1.734764e+00 1.221856e+00 -5.517173e-02 -3.732719e-01
## 41666 1.870893e-01 4.693748e-01 2.071954e-01 5.767070e-01
## 41691 1.204790e+00 -7.003411e-01 1.592556e-01 7.392339e-01
## 41698 2.609892e-01 1.599733e-02 -1.968401e-01 -6.624398e-01
## 41704 1.702577e+00 -8.096956e-01 -2.261407e-01 -8.152046e-01
## 41714 -2.336184e-01 8.414836e-01 -5.997926e-01 9.129921e-04
## 41721 4.677582e-01 -6.727809e-01 1.039375e+00 -4.741550e-01
## 41759 2.828845e-03 -1.234385e-01 1.727648e+00 -2.847194e-01
## 41765 1.781763e-01 -8.233286e-01 -6.003155e-01 3.814492e-01
## 41777 -5.374303e-02 8.787782e-01 -1.309041e-01 -1.382316e+00
## 41778 -3.381753e-01 -2.439513e-01 4.760540e-01 1.322779e+00
## 41783 1.157364e+00 1.136523e-01 3.629349e-01 7.275317e-01
## 41789 1.338186e+00 5.339123e-01 -1.553108e+00 6.404258e-01
## 41797 1.179310e+00 -9.816942e-01 2.123343e-01 5.814146e-01
## 41813 -1.474114e-01 -2.994039e-01 5.994973e-01 -8.227200e-01
## PC17 PC18 PC19 PC20
## 72 3.040790e-02 1.7732217984 2.148009e-01 7.551061e-01
## 125 3.393339e-01 -0.2476493201 6.231038e-02 -1.772594e-01
## 144 8.029508e-01 -0.4777753971 1.019277e-01 -4.783637e-01
## 153 -4.422384e-01 1.2466948770 2.129004e-01 3.081610e-01
## 162 3.895360e-01 -0.7657544086 -6.239348e-02 2.190269e-01
## 165 -4.741525e-01 0.6509684455 -4.628132e-01 -1.962124e-01
## 250 1.102038e+00 -0.9712637346 -7.033729e-01 -2.984600e-01
## 256 -3.643083e+00 0.2978206418 -1.689892e+00 -3.223917e+00
## 297 -4.456609e-01 -0.4387982335 1.455403e-01 1.182092e+00
## 299 -6.756042e-02 -1.4204515212 6.732021e-02 -3.089908e-01
## 317 3.480308e-01 -0.4791982293 -7.839246e+00 2.561302e+00
## 320 -2.918283e-01 -1.9266718228 1.742396e-01 6.083521e-01
## 324 -1.085957e+00 -3.1503408967 -1.327605e-01 1.481451e+00
## 329 2.825398e-01 -0.5222913544 2.204219e-01 4.809557e-01
## 338 1.487411e+00 1.7412803673 3.710514e-01 -1.026880e+00
## 344 -3.881924e-01 0.2756021148 2.581481e-01 8.920642e-01
## 370 1.231727e+00 2.9311757203 -1.034913e-01 1.372236e+00
## 416 -5.276775e-01 1.4926684501 2.371072e-02 2.070128e+00
## 442 2.026373e+00 -1.4615467561 -2.269875e+00 2.002482e-01
## 484 1.385302e+00 0.4458241052 -4.383325e-01 -5.049752e-01
## 493 7.793652e-01 -0.8187649628 -1.288222e+00 -3.247882e-01
## 581 2.461206e-01 2.6247774264 -1.038969e-01 1.276535e+00
## 592 -1.271430e-01 0.7440248540 9.574698e-02 3.248029e-01
## 627 1.076906e+00 1.5802234952 2.037036e-01 -5.503638e-01
## 697 -1.340651e-01 -0.5711943082 -2.412670e-01 -5.780041e-01
## 702 7.909586e-02 -0.0951840700 1.795555e-01 4.142210e-01
## 740 1.008080e+00 0.3164401502 -7.065072e-01 -8.379715e-01
## 766 -7.445831e-01 -1.5454506514 4.960782e-02 -6.726995e-01
## 804 9.080490e-01 1.7001600202 -1.785537e-01 -2.009233e-01
## 863 -1.831472e-01 -0.1598038577 -1.146694e-01 -8.762359e-01
## 902 6.973494e-01 -0.9007700278 -4.991691e-01 -6.537532e-01
## 918 -2.644382e+00 0.5016448706 -8.177282e-01 -2.011841e+00
## 976 -2.045649e+00 0.8349016057 -2.710927e-01 -6.665542e-01
## 993 5.618724e-01 -1.0834945991 2.152745e-01 1.962087e-01
## 1002 -1.183631e+00 1.8551715448 2.916235e-01 2.701512e+00
## 1009 -3.982673e-01 -1.3111881516 -5.998659e-01 8.746856e-01
## 1048 1.055921e-01 -0.1558255523 3.115382e-01 -4.876364e-01
## 1050 -6.919298e-01 -1.6850576416 3.276660e+00 7.926597e-01
## 1142 1.336022e+00 0.9467000638 -5.468917e-01 -7.873782e-01
## 1154 6.779473e-01 0.5127607987 -4.628206e-01 -4.770636e-01
## 1165 1.163130e-01 -0.2768197362 1.426646e-01 2.411406e-01
## 1208 9.434532e-01 0.2339504854 -2.530383e-01 -7.295931e-01
## 1230 -7.882523e-02 -0.2444214871 9.792071e-02 5.447436e-01
## 1239 -4.337861e-01 -1.4824927868 3.000584e-01 7.701179e-01
## 1241 1.403747e+00 0.8428929958 9.759560e-02 -4.515680e-01
## 1251 3.836175e-01 0.8383613797 -2.699130e-01 -5.709998e-02
## 1256 1.248640e+00 -0.8959245216 -1.195143e+00 -2.145836e-01
## 1267 5.224619e-01 0.2976544837 1.399299e-01 -2.632148e-01
## 1280 -1.114398e-01 -0.0792307833 -6.834633e-03 5.593734e-01
## 1289 9.229257e-01 -0.0586630701 -5.561099e-01 2.948035e-02
## 1351 -6.474316e-01 -1.8002890730 1.447713e-01 5.077806e-01
## 1364 9.320736e-01 2.1114138813 5.337054e-01 -4.552718e-01
## 1371 2.775363e-01 0.0719059654 4.038907e-01 3.707018e-01
## 1409 3.912107e-01 -1.4911105219 -3.868398e-01 -1.063178e-01
## 1427 -4.164104e-01 0.6671869514 5.892336e-01 -1.948878e-01
## 1431 -2.826406e-01 -1.3750870679 2.702017e-01 5.972035e-01
## 1458 -1.472704e+00 -0.7183942257 -3.973002e-02 6.040971e-01
## 1472 -4.655525e-01 -0.1047992862 -3.798109e-01 9.438512e-01
## 1510 7.979874e-01 0.5542839500 -6.420961e-01 6.619373e-02
## 1537 1.045900e+00 0.5533610816 -1.390201e-01 -9.600246e-01
## 1567 -1.072547e-01 0.3596611147 -1.922189e-02 -2.350692e-01
## 1692 8.241652e-01 -0.9810152448 -1.970145e+00 2.117054e+00
## 1720 6.295992e-01 -0.4906046397 2.292029e+00 -9.269809e-01
## 1728 7.998520e-01 -0.6208954960 -2.986649e-01 3.026842e-01
## 1802 6.211688e-01 0.0940254015 3.667490e-01 -6.070490e-02
## 1809 1.117803e+00 -1.6957116817 -5.889107e-01 1.453800e-01
## 1816 2.946676e-01 2.4580858932 2.645111e-01 1.383190e+00
## 1831 1.211772e-01 -0.1012080041 4.466064e-01 5.384284e-03
## 1842 4.874136e-01 1.7292216181 4.368381e-01 2.148888e-02
## 1866 7.478945e-02 0.8543721735 5.728620e-02 -1.442887e+00
## 1880 -5.997837e-02 -1.5998338681 -7.878510e-01 3.871659e-01
## 1896 3.529773e-01 0.7303900575 -7.659182e+00 2.706909e+00
## 1915 -6.833977e-01 0.1813830407 2.851121e-02 -8.676815e-01
## 1942 9.869102e-01 0.0465055460 -1.659214e-01 -1.168165e+00
## 1943 8.683410e-01 -2.1946299935 -1.434206e+00 6.873459e-01
## 1971 -5.156187e-01 1.0462451322 3.536091e-01 6.783284e-01
## 2010 2.902076e-01 -0.3303447004 -1.112885e+00 -6.282386e-01
## 2032 3.179497e-01 -0.9152417504 1.018420e-01 -1.803271e-01
## 2137 -4.192676e-01 -0.0780457559 -8.693070e-02 -6.116453e-01
## 2168 -1.856958e+00 0.5457915604 -1.238652e+00 -2.101026e+00
## 2193 7.365332e-01 0.3507269715 1.991840e-01 -6.281742e-01
## 2269 6.034152e-01 0.8241861311 -5.022833e+00 1.646414e+00
## 2323 -6.108432e-01 -0.7089782280 1.133789e-01 7.664279e-01
## 2344 -4.451089e-01 0.2660149199 3.763330e-01 3.870750e-01
## 2398 8.480986e-01 -0.8166732283 -6.807212e-01 4.592307e-01
## 2414 8.588326e-01 -0.0138773189 1.905607e-01 -9.963315e-01
## 2418 -6.324588e-01 -0.8068326356 8.784863e-03 9.061695e-01
## 2419 -1.913489e-01 -0.2386671546 -1.947664e-01 -6.468956e-01
## 2423 -1.962029e-01 -1.5797786593 1.336312e-01 5.711998e-01
## 2463 7.370886e-01 -1.1148791182 -9.002877e-01 1.426000e-01
## 2481 1.042665e-01 -0.9156679351 1.120800e-01 1.065220e-01
## 2497 8.128302e-01 -0.3248474873 2.150477e-01 -1.055501e+00
## 2514 -1.166615e-01 0.2173614521 -2.686024e-01 -8.589504e-01
## 2582 2.794954e-01 1.0320441097 4.196473e-01 2.108595e-01
## 2633 -3.209234e-01 0.1850677276 7.499880e-02 -3.479514e-01
## 2639 -2.505106e-01 -1.2105504413 -9.379051e-01 -4.860121e-01
## 2654 1.142749e+00 -0.8460302124 -1.827792e+00 -8.482656e-02
## 2673 -1.125887e-01 0.1226438719 2.688016e+00 -4.887092e-02
## 2706 5.732271e-01 -0.0503155068 -5.016313e-02 1.280869e-02
## 2713 -4.417765e-01 -0.3804858372 2.942954e-01 2.842624e-01
## 2785 -5.024202e-01 -0.3474639885 1.781006e-01 1.349680e+00
## 2881 7.587618e-01 0.1355981798 7.894294e-02 -1.141321e-01
## 2889 5.383297e-02 0.5062154210 8.815871e-02 -1.592900e-01
## 2923 -1.467543e-01 -0.5423015535 1.750050e-01 9.269080e-01
## 2929 -5.540830e-01 -1.8913832992 2.551583e-01 5.575479e-01
## 2939 -1.632976e+00 -1.9283847918 -1.864125e-01 2.263898e-01
## 2948 1.645590e-01 -0.6933965466 3.469169e-01 -5.080452e-02
## 2953 7.144833e-01 0.2743052419 2.200733e-01 -3.714633e-02
## 2987 1.488964e+00 1.2640561047 -3.973897e-01 -1.235683e-01
## 2996 2.074208e+00 -0.6538162414 -2.610732e+00 -6.475492e-01
## 3013 1.004473e+00 -0.9562751305 -7.448729e-01 -5.756478e-01
## 3069 -1.905725e-02 2.8263428405 1.794457e-01 1.552978e+00
## 3083 7.165051e-01 0.5093871948 2.101752e+00 -6.335583e-01
## 3148 -1.703587e-01 -1.7173655795 9.796287e-02 3.240099e-01
## 3181 4.003025e-01 2.4488788791 1.463274e-01 1.600026e+00
## 3188 -4.066324e-01 -0.8403257442 2.577110e+00 1.604981e+00
## 3210 1.703033e-01 -1.9382843312 7.296640e-02 4.607041e-01
## 3220 1.962266e-01 1.2469816099 1.611067e-01 1.624048e-01
## 3225 2.654280e-01 0.8208955189 3.521621e-01 -2.363401e-01
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## 41590 -8.519005e-01 0.2896586527 1.892590e-01 4.463803e-01
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## 41691 1.104706e+00 0.5768953286 1.554298e-01 -9.909175e-01
## 41698 2.257434e-01 1.2222498753 2.633277e-01 5.063088e-02
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## 41714 -1.073362e+00 -0.6030052062 1.197615e-01 5.126013e-01
## 41721 6.634572e-01 1.3839084084 7.096854e-02 1.819493e-01
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## 41813 3.066730e-01 0.9599535621 3.888291e-01 8.767392e-01
## PC21 PC22 PC23 PC24
## 72 1.094178e-01 0.8170315270 1.9680061228 6.871519e-01
## 125 -6.774239e-01 -0.5725170982 0.9817774879 1.454734e+00
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## 162 -3.744764e-01 0.9869591096 0.9562524653 1.632475e+00
## 165 1.355926e-01 -0.2256139311 1.0431408257 1.370757e+00
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## 297 5.237343e-01 -0.7901568750 -0.0484351361 1.014235e+00
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## 329 -1.169708e-01 0.5815339409 -0.9694519301 1.036393e-02
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## 370 1.718773e+00 0.1874716424 -0.7894609484 1.384142e+00
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## 493 1.532550e+00 -1.0667856347 0.8374039479 -1.138406e+00
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## 627 -6.677075e-01 0.6902487771 -0.1710642018 6.190766e-01
## 697 1.622549e-01 0.5152335893 0.6999699918 2.311441e-01
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## 902 -4.726181e-02 -2.5280940574 -0.1936817925 2.323911e-01
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## 1002 7.922234e-01 -1.5583209128 0.7761196956 1.088315e+00
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## 1458 -4.864566e-01 -0.2226938823 0.9549208984 4.416565e-01
## 1472 7.257645e-01 0.1003388843 -0.8296743539 -1.923292e+00
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## 1537 -1.847327e-01 0.1665355906 -0.0670598672 2.408924e-01
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## 1842 -5.056567e-01 -0.4038662363 -0.0864441920 -9.737164e-01
## 1866 -9.671994e-01 -2.8445888877 -1.4890591333 1.291375e-01
## 1880 6.210828e-01 -1.3834699716 0.1009317674 -1.219531e+00
## 1896 -4.676440e+00 -0.3465798520 -1.9119344883 6.783238e-01
## 1915 -6.211154e-01 1.4973802612 -0.5914883365 -8.083394e-01
## 1942 -5.067103e-01 1.7035576316 1.2950811283 -6.768060e-02
## 1943 1.957843e+00 -0.8851707683 1.1842668193 9.412562e-01
## 1971 -8.927219e-01 0.1599347822 0.4803061221 1.151389e+00
## 2010 6.239917e-01 -2.2572893378 1.2292839759 -1.226229e+00
## 2032 -4.510163e-01 -0.0374713431 0.5303020759 -1.272597e+00
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## 2323 -1.444687e-01 0.3309006904 0.7109854799 6.064089e-02
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## 1971 8.200995e-01 -8.462918e-01 -2.101976e-01 4.218089e-03
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## PC37 PC38 PC39 PC40
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## 41018 -2.155938e-02 -5.526161e-02 1.520460e-02 -1.292359e-02
## 41107 4.572352e-03 -1.915921e-02 -2.459058e-02 -1.038127e-02
## 41209 -1.725349e-03 -3.570892e-02 -7.258605e-04 -1.081391e-02
## 41224 2.264639e-02 -9.356559e-03 -2.053260e-02 -3.852042e-02
## 41255 7.516044e-02 -2.325028e-02 -1.039430e-02 -6.948051e-03
## 41288 -4.697025e-02 2.368602e-02 -2.853796e-02 2.582019e-03
## 41304 6.160887e-01 -1.406473e-01 7.001136e-02 -1.287910e-02
## 41318 9.321637e-03 -1.594240e-02 -9.177409e-03 -3.185292e-02
## 41384 1.023497e+00 -3.251846e-01 -3.488510e-01 -7.111593e-02
## 41408 -4.279416e-02 1.726790e-03 -1.239453e-02 -7.549470e-03
## 41422 8.297296e-02 -5.403556e-02 -1.067554e-02 -2.673878e-03
## 41434 -1.332981e-01 -3.279117e-02 -1.378942e-02 1.878952e-02
## 41446 -1.004948e-02 1.765412e-02 1.200235e-02 -6.555158e-03
## 41494 -4.937753e-02 2.667913e-02 3.945648e-02 -3.902196e-02
## 41501 -2.875461e-01 -4.629699e-02 8.092624e-02 1.554657e-01
## 41518 -5.152487e-02 -1.443479e-02 -1.120952e-02 7.363646e-04
## 41532 -4.893997e-01 1.538831e-03 3.229720e-02 -2.510587e-01
## 41536 8.980906e-02 -5.617905e-02 7.245196e-03 2.955150e-04
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## 41550 -1.112848e-01 -5.128967e-02 -4.248383e-03 -1.450740e-03
## 41552 -5.528112e-01 -6.457374e-01 5.080117e-02 -2.190503e-02
## 41590 -5.251715e-02 3.560704e-02 -2.964710e-02 -6.611677e-03
## 41636 -1.165937e+00 2.583992e-01 -3.751863e-02 4.067589e-02
## 41642 -2.416025e-01 1.121454e-02 8.471296e-02 1.204531e-01
## 41666 -6.336960e-02 1.154541e-01 -2.098491e-02 2.872522e-02
## 41691 8.400440e-02 -9.026897e-03 -4.679124e-03 1.119581e-02
## 41698 8.745994e-02 1.246330e-01 -6.742699e-03 -1.421757e-02
## 41704 5.282189e-03 1.090314e-03 7.239046e-03 -2.174314e-02
## 41714 -1.909649e-01 1.633059e-01 -1.043080e-01 1.461119e-02
## 41721 -2.886715e-01 -2.253254e-01 4.227061e-02 4.230762e-01
## 41759 -9.698737e-01 6.141923e-01 5.408538e-01 -4.651369e-01
## 41765 1.886946e-01 -4.567923e-02 -3.904569e-02 7.375774e-03
## 41777 7.539730e-02 -3.300060e-02 -1.025937e-02 -1.308727e-02
## 41778 -5.970073e-03 5.827295e-02 -2.486660e-02 1.052231e-02
## 41783 5.628725e-02 -6.851633e-03 -2.058756e-02 -8.276810e-03
## 41789 -1.662195e-01 -1.689678e-04 -2.734552e-02 7.395837e-03
## 41797 7.754247e-03 -9.627924e-03 -1.228505e-02 -5.459033e-03
## 41813 -4.336298e-01 -5.746822e-01 -5.613762e-02 7.647119e-02
## PC41 PC42 PC43 PC44
## 72 -1.817738e-02 -2.100852e-02 1.322694e-02 1.388548e-02
## 125 -2.287460e-02 -1.578720e-02 -1.768516e-02 -4.156113e-03
## 144 -2.046839e-02 9.322783e-03 4.024940e-04 6.994940e-03
## 153 5.880082e-02 3.234894e-02 -4.909452e-02 -4.409300e-02
## 162 -4.000439e-02 5.565147e-02 1.518817e-02 1.446773e-02
## 165 -1.716215e-02 -1.214180e-02 -1.352290e-02 1.088566e-02
## 250 -1.169727e-03 1.541538e-02 -7.321570e-02 -6.834273e-03
## 256 -1.166058e-02 -1.143856e-01 1.177768e-02 -1.014220e-01
## 297 -8.807689e-03 -2.794740e-03 1.104543e-03 1.436555e-02
## 299 2.860242e-03 2.216809e-02 -6.186145e-03 -1.125393e-02
## 317 -3.848607e-02 2.738825e-02 -4.570564e-02 -6.151524e-02
## 320 -2.178995e-02 1.975414e-02 1.159023e-02 1.409422e-02
## 324 -1.190702e+00 -7.252486e-01 3.468290e-01 2.923276e-02
## 329 -1.411923e-02 -1.501388e-02 -3.501446e-02 -1.953385e-02
## 338 7.846350e-03 2.357504e-02 -2.538662e-02 -3.829992e-02
## 344 8.108097e-02 -2.125525e-02 -6.683647e-02 -1.379009e-01
## 370 -7.289130e-03 1.169264e-03 2.159638e-02 2.912118e-02
## 416 -9.014983e-03 1.397077e-02 3.710846e-03 1.584499e-02
## 442 -5.957367e-02 -9.035951e-02 9.097722e-02 -2.218323e-01
## 484 -2.056482e-02 -5.831798e-03 2.899805e-03 -9.309692e-03
## 493 1.073128e-02 -1.471346e-03 5.977084e-04 1.084719e-02
## 581 -3.522602e-03 -1.730725e-03 -1.045544e-02 1.307923e-02
## 592 -4.120929e-04 -8.711182e-03 -1.113972e-02 5.221863e-03
## 627 2.615986e-02 1.675214e-02 -1.013805e-02 3.169094e-02
## 697 3.639241e-01 2.112038e-01 1.537260e-01 3.626497e-01
## 702 -3.328406e-02 9.559357e-03 2.654191e-02 -1.854662e-02
## 740 -2.648840e-02 3.451325e-02 -2.496976e-03 5.047847e-03
## 766 -1.248809e-02 8.260094e-03 3.686193e-02 1.370553e-02
## 804 4.135026e-03 -2.650624e-03 2.737752e-02 1.950577e-02
## 863 -4.010469e-03 1.482851e-02 2.343549e-02 4.926812e-03
## 902 -3.001712e-02 4.861723e-03 -1.501368e-02 -2.097735e-02
## 918 -2.968214e-02 1.357432e-03 3.112742e-03 -1.010874e-02
## 976 -4.131188e-03 -2.223674e-02 4.265185e-02 2.635161e-02
## 993 -2.763781e-02 1.212106e-03 -1.074989e-02 -1.410529e-02
## 1002 -5.317494e-03 2.940979e-02 -9.503723e-03 6.991131e-03
## 1009 1.377124e-02 1.523673e-02 -8.383739e-02 -1.557477e-02
## 1048 5.521727e-03 9.686276e-04 1.432309e-02 1.000870e-02
## 1050 -1.814908e-02 -3.470914e-02 2.751499e-02 6.713922e-03
## 1142 -1.755532e-03 6.766354e-03 -6.264505e-03 8.520522e-03
## 1154 -2.092808e-02 6.495032e-03 -1.074048e-02 6.048386e-03
## 1165 -9.082401e-03 -1.046808e-02 -2.210252e-02 -1.421067e-02
## 1208 -1.630921e-02 -1.136324e-02 -3.091670e-02 4.449825e-03
## 1230 -3.048439e-02 -4.452838e-03 -3.785139e-03 -1.519150e-02
## 1239 4.505430e-02 -1.273881e-02 -2.168139e-02 4.041391e-02
## 1241 -1.468282e-02 1.193981e-02 -6.796331e-03 -5.203683e-03
## 1251 -7.953711e-04 1.000335e-03 4.734357e-04 1.947171e-02
## 1256 2.409912e-03 3.766704e-02 -1.104771e-02 -4.446948e-02
## 1267 -1.647808e-02 6.543914e-03 -1.861309e-02 1.685008e-03
## 1280 -1.713516e-02 1.387596e-02 -1.529405e-02 8.176130e-03
## 1289 -7.493499e-03 1.182329e-02 8.083988e-04 5.736973e-03
## 1351 3.985460e-03 3.924089e-03 1.451733e-02 7.450857e-03
## 1364 -1.683158e-02 -4.337048e-03 -9.288148e-03 -2.284938e-02
## 1371 -2.749713e-02 1.798317e-02 -1.113913e-02 -3.366805e-03
## 1409 -1.039043e-02 -2.634166e-03 -5.426065e-03 6.872464e-03
## 1427 -1.413210e-02 4.944922e-03 -3.813924e-03 3.087730e-03
## 1431 5.687347e-03 5.788402e-03 2.624286e-02 3.194987e-02
## 1458 -1.230545e-01 2.259981e-01 7.618568e-01 2.865179e-01
## 1472 7.953236e-04 -1.263758e-02 6.553266e-03 3.113103e-02
## 1510 -1.150085e-02 -7.615656e-04 -1.294002e-03 1.002990e-02
## 1537 -1.180208e-02 -1.283655e-03 9.004367e-04 3.534044e-03
## 1567 -9.046611e-03 -8.933158e-02 2.323799e-02 -5.638370e-02
## 1692 -3.533175e-02 3.148135e-02 -5.187398e-02 1.268768e-02
## 1720 6.030894e-03 1.094058e-02 1.519842e-02 2.589047e-02
## 1728 1.775063e-03 7.015457e-03 -3.037381e-03 1.340931e-02
## 1802 -2.941053e-02 -2.630927e-03 -9.705129e-03 -4.589169e-03
## 1809 -3.141053e-01 -3.071324e-01 -7.373056e-02 -1.125645e-01
## 1816 -1.123637e-02 -1.250477e-02 1.809980e-02 1.882850e-02
## 1831 -2.009434e-02 -1.076971e-02 5.772253e-04 -1.393226e-02
## 1842 5.188181e-02 -2.654711e-02 5.070450e-02 -1.317190e-02
## 1866 -1.867839e-02 -8.015407e-03 5.563715e-02 6.534482e-03
## 1880 3.557897e-03 -5.929470e-03 2.205916e-02 1.868011e-02
## 1896 -5.351911e-02 -6.669511e-03 -3.398209e-02 -5.529871e-02
## 1915 2.617808e-03 8.901500e-03 -1.833568e-02 7.620268e-03
## 1942 -9.313822e-04 1.001541e-03 -1.017480e-03 1.469153e-02
## 1943 -1.161993e-02 -3.889210e-02 5.359723e-02 2.628185e-02
## 1971 6.535237e-02 -2.247702e-02 -7.158931e-02 -9.252931e-02
## 2010 1.485859e-03 2.002110e-02 3.097227e-02 3.322812e-03
## 2032 -1.388169e-02 7.331208e-03 -5.165669e-03 9.470022e-03
## 2137 -2.902938e-02 -2.091633e-02 -2.436087e-02 -2.271330e-02
## 2168 -1.793771e-02 3.218289e-03 2.389818e-02 4.836056e-03
## 2193 4.848265e-03 1.370321e-02 3.943803e-02 1.737156e-02
## 2269 -3.374628e-02 -2.047220e-02 -5.196808e-02 -5.523750e-02
## 2323 -1.453632e-02 -8.879334e-03 -3.336247e-03 2.568529e-02
## 2344 1.491105e-03 -1.333616e-02 6.112731e-03 1.088149e-02
## 2398 -3.205443e-02 1.069817e-02 -2.347680e-02 -1.102627e-02
## 2414 1.479155e-02 -3.384496e-03 -1.610397e-02 -7.973486e-03
## 2418 -5.254884e-03 6.544409e-04 9.590505e-03 2.459450e-02
## 2419 -2.789966e-02 7.472232e-03 -1.433984e-02 -1.699239e-02
## 2423 -1.169561e-02 2.293165e-02 -4.573065e-03 1.904150e-02
## 2463 -5.926988e-03 1.289512e-02 -1.807286e-03 1.693369e-02
## 2481 -1.602847e-02 1.069798e-01 2.686614e-01 2.391535e-01
## 2497 -1.295889e-02 1.412931e-02 -1.842907e-02 -1.940398e-02
## 2514 2.496094e-01 -4.766524e-02 -2.690651e-02 4.437798e-02
## 2582 1.600914e-02 2.060984e-02 -1.931222e-02 -2.857461e-02
## 2633 1.725940e-02 -8.951492e-02 1.019049e-02 -1.991067e-01
## 2639 -3.836113e-02 -1.715507e-02 2.115192e-02 1.199515e-03
## 2654 2.062504e-03 -1.097755e-02 7.004065e-03 2.393852e-02
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## 2706 -1.333403e-02 7.397433e-04 8.754213e-03 9.638841e-03
## 2713 -5.648910e-03 -4.022706e-02 1.231570e-02 -6.867602e-03
## 2785 -1.734180e-02 2.085853e-02 1.549356e-02 -4.950755e-03
## 2881 -2.372540e-02 3.393469e-03 -1.544472e-02 -1.274628e-02
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## 2939 -1.439232e-02 4.842292e-03 3.540780e-03 1.537545e-02
## 2948 -4.687843e-03 1.873045e-02 4.530876e-03 1.579737e-02
## 2953 -2.834199e-02 -1.528430e-03 -2.159088e-03 -1.521278e-02
## 2987 -2.996187e-03 7.528953e-03 1.352454e-02 7.937040e-03
## 2996 -1.209208e-02 7.342346e-03 -1.604581e-02 1.334231e-02
## 3013 -8.335050e-03 1.162042e-03 9.501698e-03 1.214315e-02
## 3069 1.979879e-01 -4.123868e-02 -1.494636e-01 -2.313495e-01
## 3083 1.374725e-03 -9.390388e-03 1.545182e-02 1.719463e-02
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## 3188 -8.332601e-03 -2.109114e-02 4.128412e-02 5.584224e-02
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## 3220 2.419409e-01 2.387803e-01 3.137880e-01 1.922524e-01
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## 3232 1.419553e-02 2.437878e-02 1.916562e-02 -2.210793e-03
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## 3357 -8.707153e-03 6.076374e-03 -2.636706e-02 -3.328019e-03
## 3379 -5.043236e-03 1.396683e-02 2.883323e-02 1.807791e-02
## 3391 1.135131e-01 -2.904192e-02 2.853055e-02 3.403914e-02
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## 40690 4.303093e-01 2.959981e-01 9.334363e-02 -1.833679e-03
## 40719 -1.005580e-02 1.881106e-03 -8.892550e-03 -3.260539e-04
## 40741 3.496644e-03 -3.992089e-03 1.597411e-02 1.339475e-02
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## 41518 -1.520893e-02 2.089346e-03 -1.528340e-02 7.448165e-03
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## 41691 4.351423e-02 -9.685162e-02 8.169504e-02 -8.478650e-02
## 41698 -2.001461e-02 1.084520e-02 -3.294055e-02 -1.109858e-02
## 41704 -6.176570e-03 -4.708139e-03 6.965002e-04 1.394194e-02
## 41714 -3.623543e-03 -1.309275e-01 -3.763236e-02 -1.853058e-02
## 41721 -5.544544e-02 1.776097e-01 5.761942e-03 -2.128623e-02
## 41759 2.670585e-01 1.647106e-01 4.555437e-01 -8.439193e-01
## 41765 -1.592310e-02 1.505110e-02 -2.039789e-03 -1.046763e-02
## 41777 -1.250950e-02 3.143692e-03 1.825360e-02 -1.350317e-04
## 41778 -1.855428e-03 6.996970e-03 -2.699513e-02 -1.272579e-03
## 41783 -5.400699e-03 8.350962e-03 1.064126e-02 2.418596e-02
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## 41797 -2.135464e-02 -7.331509e-03 -3.029055e-02 1.185026e-02
## 41813 1.196169e-01 -2.260742e-02 -1.216730e-01 -2.897225e-01
## PC45 PC46 PC47 PC48
## 72 3.939422e-03 -1.109561e-04 2.557951e-03 3.819692e-02
## 125 6.602866e-03 -1.066032e-03 9.949320e-04 2.796155e-02
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## 153 5.794148e-02 -9.397404e-02 3.340694e-02 -9.809541e-03
## 162 -5.128623e-02 1.808763e-02 1.501176e-02 -9.163313e-03
## 165 -1.015009e-02 -7.216228e-03 -5.907663e-03 2.862529e-02
## 250 -3.722241e-02 2.508575e-02 1.012017e-02 1.321930e-02
## 256 6.068628e-02 1.038330e-02 8.516647e-02 8.095325e-02
## 297 -1.130616e-02 -4.541562e-03 3.455846e-03 2.698445e-02
## 299 -1.308867e-02 1.232636e-02 1.352370e-03 -1.438533e-02
## 317 -9.780757e-03 5.749629e-02 -2.902802e-02 3.053676e-02
## 320 3.048841e-03 -1.168825e-02 -3.260520e-02 -6.737077e-02
## 324 8.889826e-01 -1.619760e-01 -5.632699e-02 1.681997e-01
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## 338 -3.308751e-02 1.769860e-03 6.868460e-03 -1.696281e-03
## 344 3.781528e-02 -5.408191e-02 8.189460e-02 7.135345e-02
## 370 9.246651e-03 -9.706082e-03 -4.742034e-02 -8.769960e-02
## 416 3.520681e-03 -1.059773e-02 -2.709784e-02 -3.717538e-02
## 442 -1.411432e-01 -1.221626e-01 -1.380731e-01 4.660568e-02
## 484 -1.486099e-03 4.142093e-03 6.431989e-03 8.326355e-03
## 493 7.457430e-05 -2.683168e-03 -2.726265e-02 -3.806933e-02
## 581 5.625017e-03 -1.378345e-02 7.253440e-03 4.046619e-02
## 592 -1.060517e-02 3.431566e-03 1.006941e-02 5.105050e-02
## 627 5.602318e-03 1.955314e-02 2.787002e-02 3.748500e-02
## 697 3.846598e-01 -1.506567e-01 -2.916084e-01 -4.785457e-02
## 702 -3.065804e-03 2.952543e-03 7.852726e-03 -5.728945e-02
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## 766 1.596205e-03 5.689817e-03 -2.673337e-02 -7.589975e-02
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## 976 8.509850e-03 1.027989e-02 9.759036e-03 3.404260e-03
## 993 -2.376090e-02 1.264589e-02 1.234505e-02 3.211614e-02
## 1002 -1.675343e-02 1.601456e-03 -1.084557e-02 -3.964204e-02
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## 1048 9.286207e-03 -6.277570e-04 -1.815910e-03 9.887904e-04
## 1050 2.571255e-02 -4.926861e-03 1.429952e-02 1.386750e-02
## 1142 -6.053015e-03 -1.017753e-02 -1.258957e-02 1.288172e-02
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## 1165 3.327204e-03 7.355103e-03 3.410234e-03 4.802255e-03
## 1208 -1.337738e-02 1.096538e-02 3.394841e-02 1.337610e-01
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## 1241 -1.805522e-02 7.457196e-03 1.628908e-02 6.613672e-02
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## 1256 -4.066121e-02 -4.492444e-03 2.270141e-02 3.729256e-02
## 1267 -1.560632e-02 2.509466e-03 4.512534e-03 5.418533e-02
## 1280 1.365511e-03 -1.291164e-02 -3.844660e-03 2.929627e-03
## 1289 -7.551700e-03 -8.044822e-03 -4.180769e-02 -8.423468e-02
## 1351 -1.509851e-03 -5.267169e-03 -1.425469e-02 -3.260965e-02
## 1364 -4.009012e-03 7.163380e-03 1.122794e-02 3.831172e-02
## 1371 -7.836622e-03 2.071309e-03 -2.268221e-02 -9.546253e-03
## 1409 -3.057643e-02 2.263416e-02 2.001004e-02 7.194946e-02
## 1427 1.422567e-04 6.817166e-03 -4.513208e-03 1.819618e-03
## 1431 7.139453e-03 -3.956523e-03 -2.742930e-02 -4.600736e-02
## 1458 1.328241e-01 -5.835224e-01 -7.932495e-02 -3.744795e-02
## 1472 1.585872e-02 -1.462225e-03 -1.258512e-02 -4.092238e-02
## 1510 4.854819e-03 1.048936e-02 -1.019210e-02 -3.862621e-02
## 1537 1.002989e-03 3.727982e-03 -2.234353e-02 -2.866330e-02
## 1567 6.417775e-02 2.121726e-04 5.973215e-02 5.191549e-02
## 1692 2.011008e-02 -7.864882e-03 3.456938e-02 -1.184793e-02
## 1720 1.082870e-02 -1.268450e-02 -2.175761e-02 -6.551956e-02
## 1728 -2.140978e-02 8.887110e-03 -1.004502e-02 1.785734e-03
## 1802 -2.974025e-03 3.994278e-03 -5.946144e-03 2.346564e-02
## 1809 1.104297e-01 -4.424396e-02 2.653748e-02 -1.645234e-01
## 1816 1.998872e-02 -8.641327e-04 -5.554099e-03 -3.309002e-02
## 1831 -1.961981e-03 7.150703e-03 1.727026e-02 4.440172e-02
## 1842 3.421934e-02 -2.219504e-02 2.773704e-02 -1.656153e-02
## 1866 1.040129e-02 4.534483e-03 -3.679062e-02 -6.464362e-02
## 1880 7.477324e-03 -5.420842e-03 -2.422532e-02 -6.524611e-02
## 1896 7.413263e-03 5.782011e-02 -4.550381e-02 4.326210e-03
## 1915 -1.337315e-02 -1.196387e-03 -7.554290e-04 3.048401e-02
## 1942 1.066129e-02 -3.885194e-03 -2.066576e-02 -1.576158e-02
## 1943 4.375038e-02 -1.511888e-02 -4.283016e-02 -1.310942e-01
## 1971 -2.174795e-02 4.645942e-02 1.805603e-02 3.997053e-02
## 2010 1.492483e-03 -1.109701e-02 -4.679816e-02 -9.231936e-02
## 2032 3.202600e-03 -4.797160e-03 -2.373370e-02 -7.225716e-03
## 2137 3.790472e-02 -4.701898e-03 -3.562597e-02 -2.584472e-02
## 2168 -8.438439e-03 1.750432e-02 -1.359984e-02 -3.995841e-02
## 2193 3.931816e-03 -9.271619e-03 -1.683564e-02 -5.495206e-02
## 2269 2.489893e-02 5.689761e-02 -2.492763e-02 3.633293e-02
## 2323 1.373962e-02 1.027702e-03 -7.745172e-03 -2.136601e-02
## 2344 7.970377e-03 -1.043889e-02 -3.122547e-03 -1.356952e-02
## 2398 -1.851433e-02 1.021198e-02 1.926487e-02 3.357753e-02
## 2414 -6.299575e-03 -3.003318e-02 -2.038746e-02 -4.623814e-02
## 2418 9.591776e-03 -1.126785e-02 -2.940826e-02 -8.168642e-02
## 2419 -1.544875e-02 4.788753e-03 8.404476e-03 3.430226e-02
## 2423 -4.288215e-02 2.940413e-02 4.445805e-02 1.301899e-01
## 2463 1.186018e-04 3.272918e-06 -1.915472e-02 -5.606767e-02
## 2481 3.532664e-01 -1.118942e-01 -1.405119e-01 2.652455e-02
## 2497 -1.289666e-02 -2.505651e-03 -1.367440e-03 3.145521e-02
## 2514 1.666229e-01 -9.671454e-02 -9.714794e-02 3.721314e-02
## 2582 -2.733936e-03 -2.784802e-02 4.499843e-03 4.038810e-03
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## 2706 4.153216e-03 -8.969095e-03 -2.069806e-02 -2.560123e-02
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## 3013 -1.319516e-04 -7.174262e-05 -3.116313e-02 -5.010542e-02
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## 3083 6.463333e-03 -7.667291e-03 -1.259856e-02 -5.155494e-03
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## 3220 4.063167e-01 -3.847226e-02 -1.844887e-01 2.247710e-01
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## 3379 -2.205279e-02 -2.510172e-03 1.137207e-02 9.386355e-02
## 3391 -3.334357e-02 9.949906e-03 -2.844566e-02 8.561816e-02
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## 3995 -3.022508e-02 -5.175420e-03 1.068513e-02 5.309611e-02
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## 41813 3.645545e-02 3.283522e-01 -9.057152e-02 -3.967755e-02
## PC49 PC50 PC51 PC52
## 72 7.535581e-02 -7.874972e-03 1.083977e-02 3.368141e-03
## 125 5.442845e-02 -1.104973e-02 1.777598e-02 -1.387586e-03
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## 165 5.426296e-02 -2.100983e-02 1.744182e-02 -6.634840e-03
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## 416 -6.450270e-02 -5.171609e-04 -3.434257e-03 9.056146e-03
## 442 3.560290e-03 1.130875e-01 3.397282e-01 1.655927e-01
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## 1241 1.453201e-01 -3.397379e-03 6.171285e-03 2.722119e-03
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## 1267 1.171572e-01 -8.832578e-03 2.141135e-02 -1.167659e-03
## 1280 -1.333632e-02 -2.865741e-03 1.354511e-02 8.148264e-03
## 1289 -1.323532e-01 8.553590e-03 1.187129e-02 -6.951450e-03
## 1351 -4.945322e-02 4.426834e-03 -5.999862e-03 -6.256132e-03
## 1364 8.118229e-02 3.283969e-04 2.433158e-02 4.971010e-03
## 1371 -1.475992e-02 -3.931371e-03 1.455555e-02 -7.243590e-03
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## 1472 -8.555891e-02 5.875608e-03 4.591120e-03 -1.035915e-02
## 1510 -7.127827e-02 1.576120e-02 1.149785e-03 -1.167562e-02
## 1537 -4.767154e-02 1.047441e-04 3.046590e-03 -5.789410e-03
## 1567 1.428612e-01 -2.775810e-02 -1.819182e-03 -2.160807e-03
## 1692 2.586969e-02 3.394273e-03 5.831641e-02 8.979353e-03
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## 1728 2.642297e-02 -6.217338e-03 9.274202e-03 -7.058781e-03
## 1802 5.951938e-02 -1.312990e-03 1.179999e-02 4.401251e-03
## 1809 -2.309648e-01 -5.784284e-02 2.828968e-01 5.239207e-02
## 1816 -7.483065e-02 -5.176991e-03 7.674376e-03 -1.136867e-02
## 1831 9.112437e-02 -3.323038e-03 6.729615e-03 6.068165e-03
## 1842 -9.455574e-03 9.438890e-03 -2.955796e-03 -7.830415e-03
## 1866 -1.078084e-01 1.299252e-02 -1.375588e-02 4.627171e-03
## 1880 -1.214228e-01 9.092488e-03 -7.975751e-03 -1.150789e-02
## 1896 -2.575862e-02 5.364767e-04 -3.500216e-03 1.665526e-02
## 1915 7.946730e-02 -9.903149e-03 7.970327e-03 -2.476330e-03
## 1942 -2.479157e-02 -2.834451e-03 7.114284e-03 -6.618859e-03
## 1943 -2.446891e-01 2.370060e-02 -1.397115e-02 -1.895547e-02
## 1971 1.152705e-01 -5.928342e-02 -7.023906e-02 -3.213020e-02
## 2010 -1.506273e-01 2.316724e-02 1.956166e-03 -1.627932e-04
## 2032 -5.705266e-03 -5.733591e-03 1.240051e-03 -2.298323e-03
## 2137 5.019237e-02 -2.604667e-02 9.072942e-03 -1.276031e-02
## 2168 -5.180067e-02 6.937267e-03 -7.078815e-03 2.166273e-03
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## 2269 2.982478e-02 -6.415914e-03 -4.073323e-03 1.259744e-02
## 2323 -6.017117e-02 -1.005930e-03 -5.560129e-03 7.668715e-03
## 2344 -1.380744e-02 -6.477498e-03 3.168669e-03 -5.980022e-03
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## 2418 -1.594882e-01 9.522436e-03 2.071537e-03 -2.134321e-03
## 2419 6.896420e-02 -7.229226e-03 1.361895e-02 1.461912e-02
## 2423 2.635968e-01 2.896970e-03 -8.681061e-03 5.139851e-03
## 2463 -1.199165e-01 2.935480e-03 1.964823e-03 -9.518280e-03
## 2481 -5.573391e-02 1.084563e-01 -1.142361e-01 9.643180e-02
## 2497 5.152009e-02 -1.895649e-02 2.074526e-02 -2.744045e-04
## 2514 -9.367984e-02 -2.289765e-02 4.610704e-02 8.200633e-03
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## 2713 1.142615e-02 1.321534e-02 -1.599695e-02 6.248738e-03
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## 2881 -9.466898e-02 1.089123e-02 1.213089e-02 2.343645e-04
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## 2987 -9.618205e-02 6.731747e-03 1.253128e-02 -1.076765e-02
## 2996 2.433241e-02 -1.316886e-02 1.467958e-02 -4.349928e-03
## 3013 -9.533252e-02 1.309173e-03 -5.747996e-04 -4.352489e-03
## 3069 2.832658e-02 -1.350607e-01 9.469307e-02 -6.325804e-02
## 3083 -2.005573e-03 -7.079104e-03 1.071505e-03 -7.260702e-03
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## PC53 PC54 PC55 PC56
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## 592 8.158216e-04 4.671067e-03 1.215067e-02 1.102207e-02
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## 1692 2.350767e-03 -8.135437e-02 -1.623997e-02 -5.697875e-02
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## 1728 5.519370e-03 8.339088e-04 6.214272e-03 -5.898611e-03
## 1802 2.273646e-03 2.354238e-04 -1.262084e-03 -6.739975e-03
## 1809 5.216318e-02 4.859520e-02 1.054803e-01 -6.814398e-02
## 1816 1.463471e-02 6.305565e-04 6.052191e-04 -1.098960e-02
## 1831 7.615789e-03 5.362613e-03 2.367467e-03 -8.674609e-03
## 1842 8.134677e-03 1.258770e-03 4.060230e-04 -7.201871e-03
## 1866 -1.548865e-03 -2.108704e-02 1.189556e-02 8.347974e-03
## 1880 8.501397e-04 -3.131296e-03 7.695984e-03 -9.372019e-03
## 1896 -1.008291e-02 5.026603e-04 -4.250600e-03 -2.608037e-02
## 1915 2.601295e-04 2.702138e-03 7.484803e-03 -2.644590e-03
## 1942 5.781254e-03 9.098922e-03 1.310178e-03 -8.815324e-04
## 1943 -2.247502e-03 4.523115e-03 2.475915e-03 -9.118831e-03
## 1971 -1.961203e-02 -1.544408e-02 -2.924638e-02 3.398546e-02
## 2010 -1.991722e-03 -1.122290e-02 2.785638e-03 -5.459047e-03
## 2032 -1.326108e-03 1.969461e-03 -2.554614e-04 6.517247e-04
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## 2168 -1.634776e-03 -4.885237e-03 -7.949146e-03 4.830020e-03
## 2193 2.039429e-02 -2.054332e-04 1.627454e-03 -8.920337e-03
## 2269 -8.272417e-03 5.054065e-03 -2.079146e-03 -1.659861e-02
## 2323 -3.889383e-04 1.920668e-03 4.640715e-03 1.115670e-02
## 2344 5.821091e-03 1.004412e-03 8.767785e-03 -4.043505e-03
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## 2418 -3.807592e-03 1.943657e-03 2.190193e-03 -7.277527e-03
## 2419 -4.485002e-03 -2.563492e-03 3.166343e-04 5.761969e-03
## 2423 1.712353e-02 1.884119e-03 1.095724e-03 -1.900728e-03
## 2463 8.424162e-03 -5.705586e-03 -3.139013e-03 -5.959808e-03
## 2481 1.304814e-02 3.513400e-02 -2.992329e-02 1.293747e-01
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## 40037 4.337181e-03 3.162814e-03 -2.709057e-03 -8.977713e-03
## 40074 6.971564e-03 3.589806e-03 4.801185e-03 2.867939e-03
## 40080 1.207242e-02 5.545096e-03 3.549113e-04 -1.495171e-02
## 40084 1.127544e-02 1.199517e-03 5.982660e-03 1.049035e-03
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## 40193 -1.113660e-02 1.723627e-02 9.145678e-03 1.689691e-02
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## 40244 1.006838e-02 2.208858e-03 -3.844336e-03 -1.279925e-02
## 40279 2.916926e-03 -6.564005e-03 9.387550e-03 -4.096030e-03
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## 40294 -7.400377e-03 -1.224804e-02 6.864624e-03 -4.838134e-03
## 40300 1.182594e-02 -5.789210e-03 1.446105e-03 -8.014720e-03
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## 40397 6.572954e-03 -4.715501e-03 6.605831e-03 2.887827e-04
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## 40660 -1.009124e-03 2.903537e-04 2.253973e-03 -1.386231e-02
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## 40676 4.418949e-04 8.137955e-03 -1.973700e-03 -5.696419e-03
## 40690 -2.666552e-01 1.441172e-01 8.406301e-02 3.166412e-01
## 40719 -5.398735e-03 -5.460591e-03 2.749721e-03 -4.651765e-03
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## 40781 -1.100737e-03 1.036782e-03 1.899102e-03 -2.632411e-03
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## 40849 1.555054e-03 -4.470624e-03 7.037442e-03 2.627005e-03
## 40853 -1.376953e-02 7.741245e-04 -3.233397e-03 -7.619342e-03
## 40858 -4.326419e-02 4.689368e-03 6.605952e-03 2.057025e-02
## 40887 6.635341e-03 -5.329656e-04 2.347998e-03 -3.587643e-03
## 40907 3.609620e-03 4.236670e-03 1.160762e-02 3.055913e-03
## 40933 -3.030727e-03 -3.229747e-03 -7.116011e-04 3.158563e-03
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## 40989 -3.987716e-04 3.925949e-03 -4.553982e-03 -5.211493e-03
## 41008 4.835708e-02 -9.158760e-02 1.086671e-01 4.094375e-02
## 41018 4.067897e-04 -5.596507e-03 1.894003e-03 -4.155061e-03
## 41107 8.080998e-03 -3.878840e-03 6.790159e-03 4.433946e-03
## 41209 -7.704947e-03 -1.063736e-03 1.510899e-03 -3.186212e-04
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## 41255 6.659897e-03 -1.359708e-04 -4.005603e-04 -1.265372e-03
## 41288 1.399767e-03 6.693036e-03 -4.989177e-03 6.758468e-04
## 41304 2.251474e-02 -5.245365e-03 3.360607e-03 -5.764809e-03
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## 41384 -7.735676e-02 -3.372836e-02 2.214834e-01 4.128537e-01
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## 41434 -3.445478e-03 -9.417853e-03 4.052318e-03 1.070446e-02
## 41446 2.730130e-03 -3.122240e-04 3.044358e-03 7.223478e-03
## 41494 -3.347857e-03 -4.610519e-03 4.109987e-03 4.305020e-04
## 41501 -1.109104e-01 2.536625e-01 -5.810078e-01 -3.113255e-01
## 41518 4.411952e-03 6.069271e-04 2.715086e-03 4.959985e-03
## 41532 -2.388916e-02 -4.421764e-02 -3.636467e-02 3.297665e-02
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## 41543 6.906609e-03 -4.943698e-03 -1.099105e-03 -3.326260e-03
## 41550 4.747873e-03 8.057575e-03 5.837314e-03 1.932717e-02
## 41552 9.893757e-02 -3.320353e-02 -4.231641e-02 5.898181e-03
## 41590 1.429051e-02 -4.491957e-03 -3.119338e-03 -3.673354e-03
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## 41642 -1.245890e-02 -5.204914e-03 1.446002e-02 1.147276e-02
## 41666 -1.081905e-03 -3.732056e-03 -9.175590e-03 -7.313589e-04
## 41691 3.932460e-03 3.943631e-03 2.247137e-03 -1.763992e-02
## 41698 -2.104730e-03 3.354791e-03 3.143136e-03 -4.348313e-03
## 41704 1.110969e-02 9.270995e-03 1.543258e-03 -2.966849e-03
## 41714 -6.388863e-02 8.791243e-03 -4.071106e-02 3.544192e-02
## 41721 1.155434e-01 3.056867e-03 -1.049211e-01 -1.688653e-01
## 41759 -3.045980e-01 -2.888999e-01 -9.011092e-02 1.265909e-01
## 41765 1.328164e-02 -5.930533e-03 2.243734e-03 5.868033e-04
## 41777 4.200780e-03 5.449781e-03 -3.690628e-03 -8.867511e-03
## 41778 -1.040004e-02 4.530550e-03 1.017129e-02 1.889351e-02
## 41783 1.651468e-02 1.788313e-03 -4.982212e-03 -3.839445e-03
## 41789 -8.270436e-03 -1.663663e-03 -3.716488e-03 -8.914837e-03
## 41797 1.046869e-02 2.226405e-03 1.876658e-04 -9.304778e-04
## 41813 -1.145355e-01 -9.396270e-02 -1.626880e-01 -6.616515e-02
## PC57 PC58 PC59 PC60
## 72 7.247603e-03 -5.896503e-04 -1.885712e-03 3.343526e-04
## 125 -2.946442e-03 6.445100e-04 6.850058e-04 -2.785131e-03
## 144 -6.972960e-03 1.785939e-04 1.218734e-03 -3.967608e-03
## 153 1.272165e-02 -5.295089e-05 4.160786e-03 1.842938e-02
## 162 5.204268e-03 3.492385e-03 -3.667984e-03 -4.205698e-03
## 165 -1.405677e-03 -1.719838e-04 -2.513284e-03 -4.520865e-03
## 250 -3.676636e-03 1.265813e-03 1.202456e-03 -5.893218e-03
## 256 -1.785452e-03 -9.346179e-03 9.928908e-03 2.720941e-03
## 297 -3.268665e-03 1.701633e-03 -2.976786e-03 -2.473053e-03
## 299 -2.789415e-03 -1.755352e-03 -1.327550e-03 -2.851125e-03
## 317 -7.144264e-03 9.566609e-03 6.605470e-03 7.718093e-03
## 320 -8.909582e-03 -1.667402e-03 -4.845642e-03 -9.522887e-03
## 324 3.618002e-02 6.564757e-02 2.956156e-03 8.601340e-03
## 329 -3.663935e-03 -2.837582e-03 1.209167e-03 -4.683953e-03
## 338 3.589873e-03 2.070458e-03 5.028806e-03 -8.965162e-04
## 344 -8.754800e-02 -5.187861e-02 7.795059e-02 -4.821841e-02
## 370 1.698394e-03 -1.048832e-03 -3.152018e-03 2.840685e-03
## 416 -2.710151e-03 1.133385e-03 -4.935131e-03 2.647596e-03
## 442 6.360882e-03 -1.539788e-02 2.024761e-02 -5.948532e-02
## 484 6.164593e-03 -3.615902e-03 2.951653e-03 9.669165e-04
## 493 -1.780711e-03 -2.085120e-03 -8.853907e-04 7.065876e-04
## 581 -9.094950e-03 -2.765984e-03 -3.638064e-03 1.392256e-03
## 592 -8.642457e-04 9.958842e-04 1.810787e-03 1.720785e-03
## 627 4.493334e-03 -1.802822e-03 3.784087e-03 -1.966708e-03
## 697 -2.389817e-01 -1.103555e-01 -6.236517e-03 1.085789e-01
## 702 3.334349e-03 -4.614710e-03 1.169352e-03 -9.309506e-04
## 740 -6.470422e-04 6.261534e-04 -2.421415e-03 -9.261278e-04
## 766 -2.277917e-03 -2.959260e-03 7.738066e-05 1.043509e-03
## 804 -5.050582e-03 -4.279123e-03 -1.487169e-03 1.879719e-04
## 863 1.029992e-03 3.233047e-03 8.232232e-04 -1.311915e-03
## 902 -4.645721e-03 4.835310e-03 8.995325e-03 -5.052709e-03
## 918 8.865750e-03 9.064780e-04 3.084724e-04 1.675013e-03
## 976 4.149711e-03 -2.632201e-03 9.682764e-04 -9.142302e-04
## 993 5.810932e-03 3.243905e-03 2.196940e-03 1.956704e-04
## 1002 3.956714e-03 6.228814e-04 -3.563268e-03 1.909726e-03
## 1009 -1.357749e-02 1.004189e-03 1.919587e-03 -4.620257e-03
## 1048 -1.293578e-02 -3.660354e-03 -5.984352e-04 -1.760227e-03
## 1050 2.313121e-02 -1.655054e-03 4.398042e-03 2.197915e-03
## 1142 2.771572e-03 -1.972636e-03 9.794795e-05 -4.052216e-04
## 1154 -2.143842e-03 3.589190e-04 3.064982e-03 -3.246206e-03
## 1165 6.503378e-03 -1.316070e-03 4.240375e-04 3.225453e-04
## 1208 -5.787378e-03 -3.857992e-04 -4.504277e-04 -2.860451e-03
## 1230 4.719812e-03 9.314444e-04 2.866324e-04 -4.238523e-04
## 1239 -1.168017e-02 -7.143148e-03 -2.781827e-03 -8.547528e-03
## 1241 -2.115043e-03 -1.051534e-03 2.301566e-03 -5.294676e-03
## 1251 -5.318920e-03 -4.162085e-03 -3.198220e-03 1.688183e-03
## 1256 1.997597e-02 6.806916e-03 -3.061990e-03 1.217437e-02
## 1267 -1.171789e-02 -8.794065e-04 -1.375846e-03 -5.615930e-03
## 1280 -5.184156e-03 1.406680e-03 -2.180599e-03 1.373968e-04
## 1289 -2.277041e-03 -1.552265e-04 -8.781810e-04 -6.534483e-04
## 1351 -7.768967e-03 6.887717e-04 3.821491e-04 -2.449362e-03
## 1364 1.038932e-02 -2.349244e-03 3.996219e-03 1.717931e-03
## 1371 -2.838621e-03 1.236979e-03 4.534410e-04 -3.481003e-03
## 1409 -7.859265e-03 -8.728669e-04 7.196550e-04 -7.286796e-03
## 1427 5.884574e-03 -2.013189e-03 -2.491611e-03 1.534807e-03
## 1431 -8.979704e-03 -5.880678e-04 -2.699283e-03 -3.121531e-03
## 1458 3.074591e-01 -3.619709e-01 -1.721197e-01 -1.906147e-01
## 1472 -2.325343e-03 -1.743326e-03 -6.128222e-03 4.044711e-03
## 1510 6.577110e-03 -3.976998e-03 -2.632452e-03 1.315910e-03
## 1537 1.568449e-03 4.063040e-05 2.938122e-03 -6.780083e-04
## 1567 -2.652796e-03 -8.190750e-03 9.178721e-03 -1.514264e-03
## 1692 -3.685124e-04 1.238998e-02 8.111769e-03 -3.499278e-03
## 1720 -3.428915e-03 -4.675611e-03 -1.267997e-03 9.571652e-04
## 1728 -5.925387e-03 -2.131254e-04 -2.852964e-04 -9.775016e-04
## 1802 7.758174e-03 -3.245268e-04 1.330425e-03 1.908198e-04
## 1809 2.554378e-03 -1.571624e-03 1.920860e-02 -3.666737e-02
## 1816 -6.822340e-04 -4.774789e-03 -4.306250e-03 3.616787e-03
## 1831 8.776930e-03 -6.951851e-04 4.177685e-03 1.014910e-03
## 1842 -3.081711e-03 -9.480514e-03 1.547807e-03 2.502265e-03
## 1866 2.291617e-03 1.535311e-03 1.136906e-02 -4.191273e-03
## 1880 1.165603e-03 -2.329029e-03 -1.882971e-05 -1.237998e-03
## 1896 1.299073e-03 9.454303e-03 1.029962e-02 5.663025e-03
## 1915 -8.336251e-03 -1.072715e-03 5.839956e-04 7.908132e-04
## 1942 -2.512114e-03 -3.654327e-03 -5.210112e-04 2.207255e-03
## 1943 1.030406e-02 -4.739188e-03 -4.379491e-03 -3.532740e-04
## 1971 -5.206697e-02 -2.684748e-03 4.346507e-02 -5.144910e-02
## 2010 3.907484e-03 -5.118571e-03 1.621235e-03 -1.468823e-04
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## [ reached getOption("max.print") -- omitted 9813 rows ]str(l.pca)## List of 5
## $ sdev : num [1:65] 4.44 2.34 1.9 1.82 1.66 ...
## $ rotation: num [1:65, 1:65] 0.034 0.0183 0.0225 0.0195 0.0461 ...
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:65] "AMT_INCOME_TOTAL" "AMT_CREDIT" "AMT_ANNUITY" "AMT_GOODS_PRICE" ...
## .. ..$ : chr [1:65] "PC1" "PC2" "PC3" "PC4" ...
## $ center : Named num [1:65] -2.78e-17 -1.92e-18 1.13e-16 -9.71e-18 9.76e-17 ...
## ..- attr(*, "names")= chr [1:65] "AMT_INCOME_TOTAL" "AMT_CREDIT" "AMT_ANNUITY" "AMT_GOODS_PRICE" ...
## $ scale : Named num [1:65] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "names")= chr [1:65] "AMT_INCOME_TOTAL" "AMT_CREDIT" "AMT_ANNUITY" "AMT_GOODS_PRICE" ...
## $ x : num [1:11351, 1:65] 0.196 -1.561 -1.959 23.582 8.486 ...
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:11351] "72" "125" "144" "153" ...
## .. ..$ : chr [1:65] "PC1" "PC2" "PC3" "PC4" ...
## - attr(*, "class")= chr "prcomp"distance <- dist(z.pca)
str(distance)## 'dist' num [1:64416925] 7.19 7.92 30.93 13.19 7.07 ...
## - attr(*, "Size")= int 11351
## - attr(*, "Labels")= chr [1:11351] "72" "125" "144" "153" ...
## - attr(*, "Diag")= logi FALSE
## - attr(*, "Upper")= logi FALSE
## - attr(*, "method")= chr "euclidean"
## - attr(*, "call")= language dist(x = z.pca)K-means clustering
standardize numeric values
classes <- sapply(loan.data.all, class)
num.loan <- loan.data.all[,classes=="numeric"]
num.loan$SK_ID_CURR <- loan.data.all$SK_ID_CURR
num.loan$TARGET <- loan.data.all$TARGET
head(num.loan,1)## AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE
## 1 202500 406597.5 24700.5 351000
## REGION_POPULATION_RELATIVE DAYS_REGISTRATION OWN_CAR_AGE CNT_FAM_MEMBERS
## 1 0.018801 -3648 NA 1
## EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG BASEMENTAREA_AVG
## 1 0.08303697 0.2629486 0.1393758 0.0247 0.0369
## YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG COMMONAREA_AVG ELEVATORS_AVG
## 1 0.9722 0.6192 0.0143 0
## ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG LANDAREA_AVG
## 1 0.069 0.0833 0.125 0.0369
## LIVINGAPARTMENTS_AVG LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG
## 1 0.0202 0.019 0
## NONLIVINGAREA_AVG APARTMENTS_MODE BASEMENTAREA_MODE
## 1 0 0.0252 0.0383
## YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE COMMONAREA_MODE
## 1 0.9722 0.6341 0.0144
## ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE FLOORSMIN_MODE
## 1 0 0.069 0.0833 0.125
## LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE
## 1 0.0377 0.022 0.0198
## NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI
## 1 0 0 0.025
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI
## 1 0.0369 0.9722 0.6243
## COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI
## 1 0.0144 0 0.069 0.0833
## FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI
## 1 0.125 0.0375 0.0205 0.0193
## NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI TOTALAREA_MODE
## 1 0 0 0.0149
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## 1 2 2
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE
## 1 2 2 -1134
## AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY
## 1 0 0
## AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON
## 1 0 0
## AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR SK_ID_CURR TARGET
## 1 0 1 100002 1df <- na.omit(num.loan)
df2.scale<-na.omit(num.loan)
m <- apply(df2.scale[,-c(66, 67)], 2, mean)
s <- apply(df2.scale[,-c(66, 67)], 2, sd)
#classes <- sapply(df, class)
#z<- scale(df[,classes=="numeric"], m, s)
df2.scale[,-c(66,67)] <- lapply(df2.scale[,-c(66, 67)], function(x) c(scale(x), m, s))## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 1 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 2 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 3 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 4 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 5 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 6 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 7 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 8 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 9 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 10 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 11 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 12 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 13 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 14 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 15 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 16 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 17 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 18 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 19 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 20 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 21 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 22 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 23 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 24 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 25 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 26 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 27 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 28 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 29 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 30 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 31 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 32 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 33 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 34 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 35 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 36 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 37 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 38 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 39 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 40 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 41 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 42 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 43 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 44 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 45 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 46 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 47 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 48 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 49 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 50 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 51 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 52 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 53 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 54 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 55 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 56 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 57 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 58 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 59 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 60 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 61 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 62 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 63 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 64 has
## 11481 rows to replace 11351 rows## Warning in `[<-.data.frame`(`*tmp*`, , -c(66, 67), value =
## list(AMT_INCOME_TOTAL = c(-0.870009547746696, : replacement element 65 has
## 11481 rows to replace 11351 rowsz<- scale(df[,-c(66, 67)], m, s)
head(df2.scale,1)## AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE
## 72 -0.8700095 -0.2873525 -0.4374945 -0.4111082
## REGION_POPULATION_RELATIVE DAYS_REGISTRATION OWN_CAR_AGE
## 72 -0.8507864 1.268285 0.8815376
## CNT_FAM_MEMBERS EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG
## 72 -0.4050549 -1.147114 0.8900905 0.5233393 0.1319042
## BASEMENTAREA_AVG YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG
## 72 0.4477418 0.2706254 0.3967334
## COMMONAREA_AVG ELEVATORS_AVG ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG
## 72 0.7364272 -0.3533639 -1.236139 0.5287161 0.7784598
## LANDAREA_AVG LIVINGAPARTMENTS_AVG LIVINGAREA_AVG
## 72 -0.8090958 0.134658 -0.2548467
## NONLIVINGAPARTMENTS_AVG NONLIVINGAREA_AVG APARTMENTS_MODE
## 72 -0.1922515 -0.4105099 0.19505
## BASEMENTAREA_MODE YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE
## 72 0.5252475 0.1651291 0.4170882
## COMMONAREA_MODE ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE
## 72 0.7940363 -0.3165147 -1.157136 0.5663859
## FLOORSMIN_MODE LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE
## 72 0.804573 -0.7812361 0.1880147 -0.1950787
## NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI
## 72 -0.1777175 -0.3818462 0.14111
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI
## 72 0.4632974 0.2925365 0.3942624
## COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI
## 72 0.7416127 -0.3455612 -1.222619 0.5280778
## FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI
## 72 0.7772532 -0.8094353 0.1414242 -0.2483349
## NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI TOTALAREA_MODE
## 72 -0.188374 -0.402668 0.093403
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## 72 0.2976207 2.125394
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE
## 72 0.3068303 2.768866
## DAYS_LAST_PHONE_CHANGE AMT_REQ_CREDIT_BUREAU_HOUR
## 72 -1.092545 -0.08103103
## AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK
## 72 -0.07107127 -0.1890122
## AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT
## 72 -0.3465318 -0.4344682
## AMT_REQ_CREDIT_BUREAU_YEAR SK_ID_CURR TARGET
## 72 0.6965438 100083 0distance.euclidian <- dist(df2.scale[,-c(66,67)], method="euclidian")
str(distance.euclidian)## 'dist' num [1:64416925] 7.19 7.92 30.93 13.19 7.07 ...
## - attr(*, "Size")= int 11351
## - attr(*, "Labels")= chr [1:11351] "72" "125" "144" "153" ...
## - attr(*, "Diag")= logi FALSE
## - attr(*, "Upper")= logi FALSE
## - attr(*, "method")= chr "euclidean"
## - attr(*, "call")= language dist(x = df2.scale[, -c(66, 67)], method = "euclidian")rand.sample.vect<-sample(1:100, 10)
#corrplot(as.matrix(distance.euclidian), is.corr = FALSE, method="color")
#identifying correlation between individual samples
round(as.matrix(distance.euclidian)[1:6, 1:6], 1)## 72 125 144 153 162 165
## 72 0.0 7.2 7.9 30.9 13.2 7.1
## 125 7.2 0.0 6.4 32.1 12.6 5.2
## 144 7.9 6.4 0.0 32.3 14.1 6.9
## 153 30.9 32.1 32.3 0.0 26.7 32.3
## 162 13.2 12.6 14.1 26.7 0.0 13.8
## 165 7.1 5.2 6.9 32.3 13.8 0.0resp.correlation <- cor(t(z), method="pearson")
distance.correlation <- as.dist(1-resp.correlation)
round(as.matrix(distance.correlation)[1:6, 1:6], 1)## 72 125 144 153 162 165
## 72 0.0 0.9 1.2 1.1 1.1 0.8
## 125 0.9 0.0 1.0 1.3 0.9 0.6
## 144 1.2 1.0 0.0 1.3 1.4 1.2
## 153 1.1 1.3 1.3 0.0 0.8 1.1
## 162 1.1 0.9 1.4 0.8 0.0 1.1
## 165 0.8 0.6 1.2 1.1 1.1 0.0# Scree Plot for k-means and selecting the number of clusters
#there are 3 obvious clusters
wss <- (nrow(df2.scale[,-c(66,67)])-1)*sum(apply(df2.scale[,-c(66,67)],2,var))
for (i in 2:20) wss[i] <- sum(kmeans(df2.scale[,-c(66,67)], centers=i)$withinss)
plot(1:20, wss, type="b", xlab="Number of Clusters", ylab="Within groups sum of squares") 
# K-means clustering
kc<-kmeans(df2.scale[,-c(66,67)],3)
#we see that the ratio between_SS values and total_SS values is: 25.4%
kc## K-means clustering with 3 clusters of sizes 814, 3648, 6889
##
## Cluster means:
## AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE
## 1 0.2267380 0.08572607 0.14108238 0.09131673
## 2 0.1758228 0.10110748 0.13099347 0.10735611
## 3 -0.1198964 -0.06366978 -0.08603647 -0.06763927
## REGION_POPULATION_RELATIVE DAYS_REGISTRATION OWN_CAR_AGE CNT_FAM_MEMBERS
## 1 0.3915262 0.11580663 -0.09375193 -0.026289230
## 2 0.2246710 0.04661831 -0.09323809 0.008956484
## 3 -0.1652347 -0.03836989 0.06045096 -0.001636496
## EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG BASEMENTAREA_AVG
## 1 0.08923342 0.11163438 0.002264545 2.553308 2.0446757
## 2 0.11788973 0.14735153 0.020486647 0.356592 0.1616243
## 3 -0.07297108 -0.09121916 -0.011116073 -0.490527 -0.3271841
## YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG COMMONAREA_AVG ELEVATORS_AVG
## 1 0.4458067 0.6721943 1.7976440 2.3948596
## 2 0.4053809 0.6077389 0.1846039 0.5471332
## 3 -0.2673416 -0.4012481 -0.3101636 -0.5727040
## ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG LANDAREA_AVG
## 1 1.8610073 1.2129250 0.9019371 1.3643549
## 2 -0.1595338 0.8893306 0.7757304 0.1220642
## 3 -0.1354160 -0.6142545 -0.5173525 -0.2258492
## LIVINGAPARTMENTS_AVG LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG
## 1 2.4489768 2.6159830 0.82128313
## 2 0.3485531 0.3673282 -0.01038612
## 3 -0.4739423 -0.5036178 -0.09154244
## NONLIVINGAREA_AVG APARTMENTS_MODE BASEMENTAREA_MODE
## 1 1.07995734 2.5459637 2.0361943
## 2 0.06633189 0.3174295 0.1255959
## 3 -0.16273247 -0.4689211 -0.3071035
## YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE COMMONAREA_MODE
## 1 0.2525306 0.6831878 1.8274445
## 2 0.2225043 0.5993824 0.1538592
## 3 -0.1476637 -0.3981219 -0.2974043
## ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE FLOORSMIN_MODE
## 1 2.4143962 1.8220024 1.2252996 0.9053841
## 2 0.5202206 -0.1881523 0.8836999 0.7648604
## 3 -0.5607611 -0.1156525 -0.6127350 -0.5120037
## LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE
## 1 1.3671127 2.4860685 2.6034732
## 2 0.1052564 0.3202469 0.3285044
## 3 -0.2172747 -0.4633358 -0.4815809
## NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI
## 1 0.83045881 1.08266055 2.5652947
## 2 -0.02870876 0.03357147 0.3503622
## 3 -0.08292407 -0.14570393 -0.4886444
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI
## 1 2.0684717 0.4884344 0.6698408
## 2 0.1509441 0.4467968 0.6087516
## 3 -0.3243402 -0.2943098 -0.4015062
## COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI
## 1 1.8007540 2.4046566 1.8577921 1.2052541
## 2 0.1837949 0.5434816 -0.1659571 0.8898875
## 3 -0.3101027 -0.5719279 -0.1316347 -0.6136430
## FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI
## 1 0.9003434 1.3724322 2.4692629 2.6209104
## 2 0.7761607 0.1216329 0.3455631 0.3630760
## 3 -0.5173920 -0.2265752 -0.4747560 -0.5019484
## NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI TOTALAREA_MODE
## 1 0.83109291 1.10202951 2.4740119
## 2 -0.01739217 0.05368849 0.3953769
## 3 -0.08899158 -0.15864532 -0.5016956
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## 1 -0.07588391 0.01224097
## 2 -0.04120549 -0.04052779
## 3 0.03078634 0.02001469
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE
## 1 -0.07679317 -0.02584597 0.009543320
## 2 -0.04044406 -0.04191656 -0.016047929
## 3 0.03049057 0.02525043 0.007370385
## AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY
## 1 0.008175929 0.026812066
## 2 0.011860281 -0.019198200
## 3 -0.007246554 0.006998115
## AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON
## 1 0.006007569 0.04614934
## 2 0.004831463 0.05420673
## 3 -0.003268303 -0.03415760
## AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
## 1 -0.055681016 -0.07812538
## 2 0.011104691 -0.02806470
## 3 0.000698858 0.02409262
##
## Clustering vector:
## 72 125 144 153 162 165 250 256 297 299
## 2 3 3 1 1 3 1 2 3 2
## 317 320 324 329 338 344 370 416 442 484
## 3 3 2 1 2 3 3 3 2 2
## 493 581 592 627 697 702 740 766 804 863
## 3 3 3 3 2 2 3 3 3 3
## 902 918 976 993 1002 1009 1048 1050 1142 1154
## 1 3 2 2 2 1 3 2 3 2
## 1165 1208 1230 1239 1241 1251 1256 1267 1280 1289
## 2 3 2 1 2 3 2 3 3 3
## 1351 1364 1371 1409 1427 1431 1458 1472 1510 1537
## 3 2 3 3 2 3 1 3 2 3
## 1567 1692 1720 1728 1802 1809 1816 1831 1842 1866
## 2 3 3 3 3 1 3 2 1 1
## 1880 1896 1915 1942 1943 1971 2010 2032 2137 2168
## 3 2 3 3 3 3 3 3 2 2
## 2193 2269 2323 2344 2398 2414 2418 2419 2423 2463
## 2 2 3 3 2 2 3 3 1 3
## 2481 2497 2514 2582 2633 2639 2654 2673 2706 2713
## 2 3 2 2 3 2 3 3 3 2
## 2785 2881 2889 2923 2929 2939 2948 2953 2987 2996
## 3 2 3 3 2 3 3 2 3 3
## 3013 3069 3083 3148 3181 3188 3210 3220 3225 3232
## 3 3 3 3 3 1 2 2 2 3
## 3254 3356 3357 3379 3391 3417 3436 3445 3534 3615
## 3 3 3 3 3 2 3 3 2 2
## 3645 3657 3680 3713 3732 3750 3819 3840 3846 3886
## 3 3 3 2 3 3 3 3 2 3
## 3995 4047 4064 4088 4160 4169 4173 4180 4215 4261
## 3 2 2 3 3 3 2 3 3 2
## 4301 4314 4320 4353 4360 4378 4405 4435 4448 4449
## 2 3 2 2 3 2 3 3 2 2
## 4469 4470 4479 4504 4507 4509 4529 4585 4629 4635
## 3 3 3 2 3 2 3 1 2 2
## 4785 4799 4872 4879 4917 4974 5010 5035 5040 5052
## 2 3 2 3 3 3 3 3 2 3
## 5053 5065 5122 5136 5140 5142 5224 5245 5259 5302
## 3 3 3 3 3 3 3 3 2 3
## 5312 5349 5421 5460 5464 5489 5493 5532 5590 5594
## 3 3 3 2 3 2 3 3 3 3
## 5618 5702 5704 5718 5735 5759 5767 5806 5820 5844
## 3 2 3 2 3 1 3 3 2 1
## 5863 5873 5912 5961 5982 5992 6013 6021 6136 6145
## 3 3 2 2 2 3 3 3 2 2
## 6155 6173 6193 6326 6391 6460 6486 6548 6561 6632
## 3 3 3 3 2 3 3 3 3 3
## 6765 6790 6827 6852 6857 6859 6891 6909 6924 6984
## 2 3 2 1 3 2 2 3 3 2
## 7062 7065 7072 7082 7091 7114 7115 7162 7167 7225
## 1 2 3 3 3 3 2 1 1 2
## 7262 7367 7371 7386 7448 7455 7502 7518 7547 7587
## 3 3 3 3 3 2 3 1 3 3
## 7606 7615 7730 7790 7848 7864 7876 7901 7929 8005
## 2 2 2 2 3 3 3 3 3 2
## 8011 8013 8034 8061 8097 8098 8162 8179 8243 8275
## 2 2 2 2 2 2 3 2 3 3
## 8294 8336 8342 8364 8381 8412 8421 8467 8472 8503
## 3 3 2 1 3 2 3 2 3 3
## 8551 8554 8555 8635 8641 8705 8753 8764 8773 8780
## 3 3 3 2 2 2 3 3 3 3
## 8791 8823 8844 8903 8927 8972 8986 9090 9133 9152
## 3 1 3 3 3 3 3 3 2 3
## 9153 9156 9169 9205 9208 9219 9234 9276 9326 9353
## 3 3 2 2 3 2 3 3 3 3
## 9358 9371 9406 9418 9433 9451 9457 9510 9529 9581
## 3 2 2 2 3 3 3 3 3 3
## 9583 9623 9665 9679 9719 9759 9867 9906 9950 9993
## 2 3 2 3 3 3 3 3 3 3
## 10033 10066 10209 10249 10273 10276 10402 10412 10445 10453
## 3 3 2 2 3 3 3 2 1 2
## 10486 10498 10501 10582 10606 10628 10638 10665 10755 10767
## 3 2 3 3 2 2 3 3 2 3
## 10817 10902 10922 10944 11035 11069 11088 11126 11150 11173
## 3 3 2 2 3 3 3 1 2 3
## 11182 11217 11236 11316 11340 11344 11357 11364 11369 11391
## 3 3 3 3 1 3 3 3 1 2
## 11405 11421 11422 11439 11446 11448 11463 11465 11473 11480
## 3 2 3 2 3 2 2 1 3 3
## 11482 11519 11521 11525 11553 11555 11557 11577 11588 11599
## 3 3 2 3 1 2 3 3 2 3
## 11610 11643 11654 11668 11707 11725 11745 11750 11792 11825
## 2 3 3 1 2 3 3 2 2 2
## 11845 11853 11869 11883 11903 11941 11945 11948 12060 12101
## 3 3 2 3 2 3 2 3 3 2
## 12123 12169 12170 12205 12243 12247 12295 12299 12332 12349
## 1 3 3 1 3 3 3 3 2 3
## 12351 12360 12392 12401 12478 12492 12503 12520 12531 12568
## 3 3 3 2 2 2 2 2 3 3
## 12572 12576 12759 12783 12810 12822 12857 12874 12921 12931
## 3 3 3 2 3 2 3 2 3 2
## 12934 12977 13014 13063 13138 13195 13225 13229 13240 13309
## 3 3 3 2 3 3 2 3 1 3
## 13360 13383 13442 13479 13488 13492 13494 13503 13536 13555
## 2 3 2 2 1 2 2 3 3 3
## 13615 13661 13748 13768 13823 13838 13860 13870 13887 13893
## 3 3 3 2 2 2 3 3 3 2
## 13913 13920 13950 13972 14061 14075 14113 14117 14156 14276
## 3 3 3 2 2 3 2 3 3 3
## 14307 14329 14350 14360 14385 14423 14508 14541 14546 14580
## 3 3 1 3 3 3 3 3 1 3
## 14647 14708 14809 14819 14820 14850 14878 14881 14890 14893
## 2 1 2 2 2 2 3 3 3 2
## 14897 14903 14941 14971 15051 15100 15110 15114 15116 15128
## 3 3 3 3 3 3 2 3 2 3
## 15157 15175 15204 15205 15234 15244 15286 15300 15317 15359
## 3 3 2 2 3 3 3 2 3 2
## 15365 15428 15437 15449 15462 15477 15481 15501 15515 15529
## 3 2 3 2 3 2 1 2 2 2
## 15548 15556 15597 15603 15607 15649 15664 15702 15737 15778
## 1 1 2 3 3 3 2 3 3 3
## 15786 15787 15790 15937 15938 15969 15990 16018 16019 16108
## 3 2 3 3 3 3 3 3 3 3
## 16178 16191 16239 16245 16267 16300 16309 16331 16345 16370
## 3 3 2 2 3 2 3 3 3 3
## 16396 16413 16449 16475 16489 16536 16548 16564 16573 16585
## 2 3 3 2 3 3 3 1 3 3
## 16608 16626 16690 16725 16744 16760 16805 16809 16919 16920
## 1 3 3 3 3 2 1 3 2 1
## 16951 16978 16991 17060 17070 17098 17103 17129 17139 17161
## 3 3 3 3 3 3 3 3 3 2
## 17250 17271 17284 17289 17436 17444 17496 17506 17529 17532
## 2 1 2 3 3 3 3 2 1 2
## 17600 17610 17653 17679 17703 17719 17723 17731 17746 17762
## 2 3 3 2 3 2 2 3 2 3
## 17764 17787 17812 17857 17859 17864 17871 17930 17943 17955
## 3 3 2 3 3 3 2 3 2 2
## 17967 18023 18082 18172 18183 18207 18220 18242 18248 18327
## 2 2 3 3 3 3 3 2 2 2
## 18329 18394 18401 18402 18487 18505 18520 18521 18567 18601
## 3 3 2 2 3 1 3 3 3 3
## 18645 18664 18667 18670 18702 18708 18752 18770 18803 18836
## 3 3 3 3 2 1 3 3 3 3
## 18841 18890 18892 18938 18940 18971 18992 19014 19093 19113
## 3 3 3 1 3 1 3 2 3 3
## 19227 19270 19274 19281 19290 19292 19293 19313 19386 19439
## 2 1 2 3 3 3 3 2 3 1
## 19450 19476 19485 19498 19523 19612 19632 19733 19739 19782
## 3 3 2 2 3 3 3 2 3 2
## 19785 19812 19841 19846 19873 19890 19918 19958 20022 20047
## 2 3 3 3 3 2 2 3 3 2
## 20069 20123 20125 20136 20178 20204 20284 20307 20321 20339
## 3 3 3 3 2 1 3 3 2 2
## 20357 20389 20457 20466 20487 20496 20506 20526 20561 20567
## 3 2 3 3 2 3 3 2 3 2
## 20593 20634 20640 20655 20680 20686 20697 20703 20734 20737
## 3 2 2 3 3 3 3 3 3 2
## 20746 20776 20815 20863 20895 20907 20912 20931 20961 21000
## 3 3 3 3 2 3 2 3 3 2
## 21097 21099 21100 21102 21116 21137 21171 21173 21183 21209
## 3 2 3 2 2 2 2 2 1 3
## 21210 21211 21232 21234 21251 21266 21433 21436 21440 21463
## 3 2 3 3 3 2 3 3 3 2
## 21502 21512 21513 21530 21532 21602 21603 21643 21646 21654
## 2 3 2 3 3 2 3 2 1 2
## 21691 21783 21807 21817 21827 21829 21923 21933 21953 21963
## 2 3 2 3 3 1 3 3 2 3
## 21965 21992 22005 22024 22030 22048 22066 22074 22081 22086
## 3 3 3 3 1 2 3 2 3 3
## 22138 22160 22172 22182 22189 22212 22247 22288 22326 22408
## 3 3 2 3 2 3 3 2 2 3
## 22467 22511 22602 22620 22625 22632 22635 22645 22681 22683
## 3 3 2 2 3 1 2 3 2 3
## 22701 22714 22762 22766 22824 22840 22842 22844 22871 22904
## 2 3 3 3 3 2 2 3 3 2
## 22934 22947 22972 23015 23044 23095 23125 23184 23187 23232
## 1 2 3 3 3 3 3 2 3 2
## 23266 23282 23284 23290 23329 23395 23419 23426 23432 23557
## 3 2 3 2 3 3 3 1 3 2
## 23606 23675 23679 23683 23750 23760 23765 23779 23844 23896
## 3 2 3 3 3 3 2 3 2 3
## 23907 23937 23950 23993 24011 24052 24058 24113 24161 24168
## 3 3 3 1 3 3 2 2 3 1
## 24175 24186 24206 24213 24231 24256 24273 24304 24319 24341
## 3 2 3 3 3 2 3 2 3 2
## 24400 24414 24464 24517 24520 24569 24579 24589 24617 24706
## 3 3 1 3 2 2 2 2 2 3
## 24716 24721 24729 24732 24748 24765 24767 24770 24785 24844
## 1 3 3 3 2 3 3 2 3 2
## 24846 24851 24863 24898 24925 24927 24943 24945 24962 24969
## 2 3 3 3 3 3 3 2 3 2
## 24994 24996 25045 25054 25095 25113 25150 25157 25214 25251
## 1 3 3 2 2 3 2 2 3 3
## 25291 25319 25336 25401 25403 25421 25422 25434 25450 25467
## 3 2 2 3 2 1 3 3 3 3
## 25471 25491 25504 25543 25624 25658 25723 25756 25774 25797
## 3 3 2 3 3 3 2 2 2 2
## 25801 25811 25836 25904 25945 25958 25981 26045 26053 26057
## 3 3 3 3 3 3 2 1 3 2
## 26070 26100 26107 26112 26144 26152 26154 26227 26252 26259
## 3 2 3 2 3 2 3 3 3 3
## 26284 26301 26310 26354 26393 26448 26492 26494 26507 26522
## 2 3 3 1 2 2 3 3 3 2
## 26549 26589 26637 26646 26647 26669 26683 26840 26866 26893
## 3 3 3 3 3 3 3 3 2 2
## 26919 26921 26954 26961 26970 26978 27015 27016 27042 27067
## 3 3 2 2 2 3 2 3 3 3
## 27140 27187 27225 27236 27279 27319 27320 27395 27401 27406
## 3 2 2 3 1 3 2 3 2 3
## 27412 27431 27432 27445 27492 27582 27616 27663 27689 27730
## 3 2 2 3 2 3 3 3 3 3
## 27738 27802 27817 27866 27900 27903 27942 27956 27999 28048
## 3 3 3 2 2 1 2 3 3 2
## 28072 28091 28123 28127 28133 28143 28161 28258 28263 28279
## 3 3 2 3 3 3 3 3 3 3
## 28324 28344 28370 28418 28448 28453 28455 28469 28471 28531
## 2 3 3 3 2 3 2 3 3 2
## 28534 28553 28602 28628 28637 28673 28700 28703 28722 28738
## 2 3 2 2 3 3 3 3 3 3
## 28776 28790 28794 28797 28816 28856 28892 28967 28972 28993
## 3 3 2 3 2 2 1 3 2 2
## 29063 29089 29125 29128 29147 29166 29167 29221 29278 29311
## 1 3 3 2 3 3 2 3 3 3
## 29315 29358 29396 29399 29420 29426 29464 29535 29539 29547
## 3 1 2 1 2 3 3 2 2 3
## 29553 29557 29588 29637 29712 29714 29719 29735 29781 29791
## 2 3 3 3 2 2 2 3 2 2
## 29811 29814 29824 29865 29872 29896 29906 30013 30041 30046
## 2 2 3 2 3 3 2 1 2 1
## 30055 30070 30074 30075 30116 30120 30151 30192 30246 30255
## 2 2 2 3 2 2 2 3 3 3
## 30300 30331 30354 30379 30383 30390 30393 30405 30425 30447
## 2 1 2 3 2 1 2 2 3 2
## 30472 30550 30564 30586 30595 30596 30634 30661 30719 30723
## 3 3 3 2 3 3 3 1 2 2
## 30757 30763 30787 30788 30790 30802 30838 30842 30855 30871
## 2 3 3 2 3 3 2 3 3 3
## 30872 30873 30875 30891 30916 30919 30937 30975 30981 31020
## 2 3 2 3 3 1 3 1 3 2
## 31059 31112 31201 31249 31262 31270 31306 31315 31321 31357
## 3 2 3 3 3 2 2 3 3 3
## 31366 31378 31387 31441 31548 31581 31587 31616 31792 31827
## 2 3 2 2 3 2 3 3 3 1
## 31863 31898 31933 31940 31959 31970 32002 32017 32024 32038
## 2 3 3 3 3 3 2 3 2 2
## 32045 32091 32104 32145 32148 32158 32162 32176 32184 32217
## 3 3 3 3 2 3 3 3 3 3
## 32240 32252 32253 32316 32321 32351 32366 32377 32378 32392
## 2 3 3 2 3 3 3 3 2 3
## 32431 32469 32503 32528 32538 32631 32665 32682 32698 32704
## 3 3 3 2 2 3 3 2 3 2
## 32707 32748 32775 32784 32853 32907 32950 33007 33021 33038
## 2 3 3 2 3 2 3 3 3 2
## 33093 33129 33144 33165 33179 33208 33264 33329 33333 33348
## 1 2 3 2 3 1 3 2 3 3
## 33351 33381 33409 33459 33484 33505 33506 33533 33568 33575
## 2 3 3 2 3 3 3 3 3 1
## 33582 33606 33700 33707 33717 33719 33755 33764 33770 33782
## 2 2 3 3 2 2 3 1 3 3
## 33868 33900 33921 33944 33974 33989 33990 34012 34014 34158
## 3 2 3 3 1 2 1 2 3 3
## 34192 34254 34267 34292 34307 34330 34343 34365 34460 34488
## 2 2 3 2 3 2 3 3 3 3
## 34499 34519 34559 34562 34592 34596 34609 34623 34626 34679
## 3 3 2 3 3 3 3 1 3 3
## 34687 34703 34752 34814 34834 34839 34851 34883 34892 34943
## 2 2 3 3 1 3 3 2 1 2
## 34990 35041 35046 35047 35055 35080 35098 35108 35116 35130
## 3 3 2 3 3 2 2 2 2 2
## 35137 35150 35182 35209 35361 35392 35408 35423 35523 35527
## 3 2 2 3 3 2 3 2 2 2
## 35533 35549 35556 35581 35616 35648 35660 35661 35672 35678
## 2 3 3 3 3 3 3 2 3 3
## 35682 35686 35694 35698 35700 35712 35756 35767 35848 35900
## 3 3 3 3 3 3 3 2 3 3
## 35901 35916 35926 35967 36049 36143 36156 36215 36241 36277
## 2 2 3 2 2 3 3 2 2 3
## 36323 36336 36382 36383 36413 36460 36462 36536 36554 36573
## 3 3 3 3 2 2 3 3 2 3
## 36616 36632 36642 36687 36703 36716 36803 36845 36864 36884
## 2 2 3 3 2 2 2 3 3 3
## 36910 36925 36949 36969 36975 36985 36993 37017 37046 37078
## 2 1 3 3 2 3 2 3 1 3
## 37079 37157 37195 37197 37243 37250 37282 37333 37364 37384
## 2 3 3 3 3 3 3 3 3 3
## 37455 37484 37569 37642 37671 37746 37760 37784 37904 37979
## 2 3 3 3 3 2 3 3 3 3
## 37989 37998 38009 38012 38055 38108 38113 38243 38257 38288
## 2 3 3 3 2 3 2 2 3 3
## 38299 38424 38459 38469 38485 38508 38649 38664 38711 38736
## 3 3 3 3 3 3 2 3 1 3
## 38742 38758 38812 38863 38918 38956 38961 38974 39043 39047
## 3 3 3 3 3 3 3 2 3 2
## 39053 39080 39094 39130 39169 39182 39195 39214 39225 39247
## 3 3 2 1 2 3 3 3 3 2
## 39254 39281 39288 39290 39298 39338 39369 39374 39404 39506
## 3 1 3 2 2 2 3 3 3 3
## 39645 39655 39658 39668 39680 39687 39689 39695 39796 39821
## 1 3 3 2 1 3 2 1 2 1
## 39836 39845 39863 39892 39921 39924 39956 39961 39998 40008
## 3 2 3 1 1 2 2 3 1 3
## 40022 40023 40026 40032 40036 40037 40074 40080 40084 40118
## 3 2 3 2 3 3 2 2 3 3
## 40166 40171 40184 40193 40215 40244 40279 40287 40294 40300
## 1 3 3 2 2 2 3 3 3 3
## 40339 40397 40408 40425 40473 40476 40479 40516 40536 40538
## 3 3 2 3 3 3 3 2 3 2
## 40541 40608 40660 40661 40676 40690 40719 40741 40781 40824
## 3 3 2 3 3 2 3 3 3 3
## 40847 40849 40853 40858 40887 40907 40933 40956 40989 41008
## 3 3 2 2 3 3 3 3 2 2
## 41018 41107 41209 41224 41255 41288 41304 41318 41384 41408
## 2 3 2 3 2 3 1 3 2 3
## 41422 41434 41446 41494 41501 41518 41532 41536 41543 41550
## 2 2 3 2 3 3 2 2 3 2
## 41552 41590 41636 41642 41666 41691 41698 41704 41714 41721
## 2 3 2 1 2 1 3 3 2 2
## 41759 41765 41777 41778 41783 41789 41797 41813 41849 41989
## 2 1 2 1 3 3 2 3 2 3
## 41998 42006 42087 42116 42128 42136 42155 42172 42182 42269
## 3 2 3 3 2 3 2 2 3 3
## 42270 42288 42305 42311 42318 42321 42334 42376 42405 42518
## 2 2 2 2 3 1 2 3 3 3
## 42593 42614 42666 42673 42690 42702 42711 42733 42742 42786
## 2 3 2 3 3 3 3 3 2 2
## 42792 42839 42862 42947 42986 42999 43036 43046 43057 43076
## 3 2 2 2 2 2 1 3 1 3
## 43083 43092 43123 43138 43184 43215 43225 43241 43261 43278
## 3 3 2 2 3 3 2 3 2 3
## 43389 43409 43437 43466 43470 43492 43526 43532 43537 43578
## 1 3 2 3 3 2 3 2 3 3
## 43580 43583 43591 43633 43728 43772 43780 43788 43796 43817
## 3 3 3 3 3 3 3 2 3 3
## 43820 43821 43836 43906 43925 43974 44023 44050 44071 44108
## 1 3 3 3 3 2 1 3 3 2
## 44130 44162 44180 44213 44260 44326 44346 44371 44379 44381
## 3 3 3 3 3 2 1 3 1 2
## 44387 44398 44403 44405 44438 44458 44459 44489 44514 44562
## 3 3 3 2 3 3 2 3 2 2
## 44605 44611 44623 44634 44645 44650 44677 44690 44703 44754
## 3 3 3 3 3 1 3 3 2 3
## 44758 44868 44917 44982 45027 45054 45071 45105 45113 45163
## 2 3 3 3 3 2 3 2 2 3
## 45168 45239 45278 45287 45369 45370 45407 45431 45465 45495
## 3 2 3 3 3 2 2 3 2 3
## 45554 45676 45688 45701 45704 45706 45772 45791 45802 45805
## 3 3 3 2 3 3 3 3 2 3
## 45823 45845 45870 45913 45920 45943 45977 45983 45998 46024
## 3 3 2 2 3 2 2 2 3 3
## 46042 46099 46101 46123 46151 46197 46201 46211 46214 46281
## 3 3 2 3 3 2 2 3 3 3
## 46310 46350 46398 46407 46463 46467 46489 46525 46536 46537
## 1 2 2 3 3 2 2 3 3 2
## 46589 46620 46624 46733 46738 46743 46786 46802 46822 46857
## 3 1 3 2 2 2 3 2 2 1
## 46922 46942 46949 46964 46976 47023 47032 47051 47073 47098
## 2 2 3 2 3 2 3 1 1 3
## 47099 47109 47112 47113 47127 47139 47167 47193 47218 47244
## 3 3 3 3 2 3 3 3 3 2
## 47267 47292 47307 47317 47336 47402 47408 47412 47426 47452
## 2 3 3 2 3 3 2 2 2 3
## 47453 47467 47495 47507 47510 47512 47528 47543 47585 47587
## 3 3 3 3 2 3 3 3 3 1
## 47593 47600 47636 47698 47742 47754 47813 47849 47938 47961
## 1 3 3 3 2 2 3 1 3 3
## 47965 48003 48005 48059 48082 48089 48138 48152 48190 48201
## 3 3 2 3 3 3 3 3 3 3
## 48285 48290 48291 48306 48319 48323 48341 48346 48381 48416
## 2 3 1 2 2 2 3 3 3 3
## 48452 48466 48476 48532 48607 48733 48747 48755 48768 48798
## 3 1 1 3 3 2 3 2 2 2
## 48827 48852 48915 48979 49033 49036 49057 49059 49071 49141
## 2 2 3 3 2 3 3 2 3 3
## 49151 49162 49183 49202 49254 49258 49277 49310 49371 49389
## 2 3 3 3 2 3 2 3 3 3
## 49435 49493 49510 49511 49590 49602 49612 49619 49698 49781
## 3 1 2 3 3 3 3 1 3 3
## 49819 49854 49935 50025 50032 50038 50041 50050 50087 50112
## 3 2 2 2 3 2 2 3 3 3
## 50115 50120 50135 50136 50142 50154 50159 50161 50192 50235
## 3 3 1 3 2 2 2 3 3 3
## 50236 50262 50279 50284 50295 50336 50411 50416 50433 50440
## 2 3 2 3 2 3 1 2 3 3
## 50443 50484 50509 50577 50598 50599 50606 50631 50653 50696
## 3 3 3 2 2 3 3 3 2 3
## 50701 50718 50741 50751 50765 50866 50870 50871 50914 50976
## 2 3 3 3 3 3 3 3 3 3
## 50998 51011 51014 51061 51130 51149 51155 51170 51251 51366
## 3 3 3 3 3 2 3 1 3 2
## 51378 51381 51386 51432 51491 51536 51540 51596 51617 51630
## 3 3 3 3 3 3 2 3 2 3
## 51693 51704 51717 51881 51904 52036 52078 52097 52100 52210
## 1 3 2 3 3 3 3 2 3 2
## 52213 52224 52240 52259 52300 52348 52362 52371 52396 52492
## 3 2 3 2 3 2 3 2 2 3
## 52508 52516 52521 52553 52599 52628 52659 52665 52677 52760
## 2 2 1 3 3 3 3 2 3 3
## 52796 52807 52835 52852 52903 52933 52939 52955 52989 53000
## 3 2 3 2 3 1 3 2 2 3
## 53001 53007 53024 53037 53045 53057 53090 53112 53158 53161
## 3 3 3 3 3 3 3 3 2 2
## 53163 53164 53166 53176 53237 53261 53266 53290 53313 53330
## 3 3 3 2 2 2 2 3 2 3
## 53334 53437 53487 53494 53563 53590 53594 53632 53689 53713
## 3 3 3 1 1 3 3 2 2 3
## 53750 53767 53802 53868 53879 53892 53901 53904 53916 53941
## 1 3 1 3 2 2 2 3 3 3
## 53980 53995 54012 54045 54054 54059 54079 54112 54138 54167
## 2 3 3 3 3 3 3 2 2 2
## 54177 54179 54218 54231 54243 54249 54272 54291 54299 54312
## 3 3 3 3 3 2 2 1 1 3
## 54388 54390 54465 54469 54510 54511 54517 54530 54636 54646
## 2 2 1 3 3 2 2 2 1 3
## 54702 54736 54774 54782 54793 54831 54849 54903 55016 55027
## 3 3 3 3 2 3 3 3 3 3
## 55053 55054 55082 55095 55135 55157 55168 55191 55225 55248
## 3 2 3 2 2 2 3 2 3 3
## 55367 55491 55501 55534 55550 55558 55568 55599 55605 55644
## 2 3 3 3 3 3 3 3 3 2
## 55662 55673 55706 55708 55720 55777 55782 55832 55843 55982
## 2 3 1 3 3 3 2 2 3 3
## 56023 56050 56136 56151 56163 56246 56251 56263 56264 56267
## 3 2 3 2 3 3 3 3 1 3
## 56271 56370 56402 56403 56421 56441 56442 56449 56500 56535
## 3 3 3 2 3 2 3 3 1 3
## 56537 56553 56629 56637 56647 56655 56668 56734 56742 56754
## 3 3 3 3 2 3 3 3 2 2
## 56767 56774 56811 56853 56861 56870 56875 56919 56927 56933
## 3 2 2 2 2 2 2 2 2 3
## 56985 57077 57130 57131 57132 57158 57206 57207 57228 57335
## 1 2 2 3 3 2 3 1 3 2
## 57347 57379 57410 57442 57460 57487 57570 57574 57602 57609
## 3 3 2 2 3 2 3 3 2 3
## 57630 57650 57678 57697 57716 57736 57747 57775 57827 57836
## 3 1 3 2 3 3 3 3 3 3
## 57853 57873 57877 57895 57897 57899 57930 57934 57967 57985
## 3 2 2 3 2 3 3 3 2 3
## 58008 58062 58075 58118 58119 58127 58137 58153 58156 58158
## 3 2 3 3 3 3 2 3 3 2
## 58163 58237 58241 58328 58351 58363 58372 58393 58481 58538
## 2 3 3 3 3 3 3 3 2 2
## 58604 58623 58681 58809 58818 58855 58893 58939 58963 59013
## 3 3 2 3 2 2 3 3 3 2
## 59061 59062 59069 59086 59089 59092 59098 59128 59132 59142
## 3 3 2 2 3 3 3 3 3 2
## 59187 59204 59233 59276 59383 59387 59523 59531 59537 59609
## 3 3 2 3 3 3 1 3 2 1
## 59616 59630 59650 59786 59811 59827 59831 59870 59876 59885
## 3 3 3 3 3 3 3 2 2 2
## 59902 59918 59951 59952 60009 60020 60041 60044 60055 60083
## 3 2 2 2 1 2 3 2 1 2
## 60110 60140 60148 60189 60190 60197 60319 60362 60382 60387
## 2 3 1 2 2 2 2 3 3 3
## 60396 60439 60461 60506 60548 60576 60637 60654 60688 60695
## 3 3 2 2 3 2 3 3 3 1
## 60799 60805 60820 60826 60948 60982 60994 61005 61011 61027
## 3 2 3 3 2 3 3 1 2 3
## 61028 61035 61040 61114 61145 61152 61157 61324 61333 61371
## 2 2 1 3 3 3 2 3 2 2
## 61397 61401 61495 61499 61545 61559 61604 61614 61617 61702
## 2 3 2 3 3 1 3 3 2 2
## 61707 61791 61821 61877 61909 61924 61960 61964 61966 61995
## 2 3 2 3 2 3 3 3 2 3
## 62000 62005 62030 62037 62080 62093 62094 62130 62138 62165
## 2 1 3 3 2 2 2 2 2 3
## 62167 62188 62192 62194 62203 62234 62245 62300 62331 62335
## 2 3 2 3 3 2 3 1 3 2
## 62336 62339 62345 62361 62392 62398 62402 62427 62446 62494
## 3 3 2 3 2 3 3 2 2 1
## 62502 62544 62572 62622 62628 62679 62682 62692 62711 62714
## 2 3 2 1 2 3 2 3 3 1
## 62831 62839 62908 62975 62986 62990 63005 63012 63036 63049
## 3 3 3 3 1 2 3 1 3 1
## 63066 63123 63132 63151 63178 63181 63205 63218 63235 63264
## 3 3 3 1 3 3 2 3 3 3
## 63309 63336 63368 63393 63500 63532 63616 63618 63641 63674
## 1 1 3 2 3 3 3 3 3 1
## 63724 63732 63739 63766 63825 63852 63859 63865 63872 63884
## 2 2 2 2 2 3 2 3 2 3
## 63895 63911 63932 63934 63947 63952 63956 63970 64004 64008
## 3 2 1 3 2 3 3 2 3 3
## 64175 64184 64238 64288 64350 64363 64382 64387 64391 64416
## 2 1 2 3 2 3 2 3 3 3
## 64435 64441 64492 64507 64520 64536 64604 64613 64666 64670
## 3 3 3 3 2 3 3 2 3 3
## 64699 64712 64737 64743 64768 64780 64825 64852 64893 64897
## 3 2 3 3 2 3 2 3 2 1
## 64910 64961 64965 64976 65035 65056 65077 65146 65156 65172
## 1 3 3 3 3 2 2 2 2 3
## 65207 65246 65260 65271 65344 65355 65364 65397 65406 65423
## 1 2 3 2 3 3 2 3 3 2
## 65438 65458 65472 65498 65501 65507 65560 65618 65641 65675
## 3 3 2 2 3 1 2 2 2 3
## 65681 65683 65691 65697 65701 65739 65746 65783 65785 65904
## 3 1 2 3 3 2 2 3 3 3
## 65921 66013 66042 66046 66064 66115 66117 66122 66128 66146
## 3 3 2 3 3 3 2 3 3 3
## 66153 66160 66175 66200 66220 66235 66257 66287 66344 66351
## 3 3 3 3 3 2 3 3 3 3
## 66448 66458 66499 66545 66650 66662 66675 66715 66733 66744
## 3 3 3 2 3 3 3 3 3 3
## 66780 66782 66786 66812 66815 66827 66872 66927 67007 67022
## 3 2 3 2 3 3 2 3 1 1
## 67024 67045 67063 67069 67074 67083 67152 67158 67196 67206
## 3 1 2 3 3 2 3 2 3 3
## 67224 67254 67276 67314 67345 67346 67353 67435 67438 67462
## 3 2 3 2 2 2 2 3 3 3
## 67482 67532 67589 67668 67670 67672 67703 67730 67770 67805
## 2 3 2 3 3 3 3 2 2 3
## 67813 67826 67903 68003 68043 68077 68083 68086 68144 68188
## 2 2 3 2 2 2 2 3 3 2
## 68191 68294 68297 68317 68328 68344 68350 68352 68372 68397
## 3 3 3 2 2 2 2 3 3 3
## 68405 68438 68446 68457 68488 68497 68549 68550 68558 68573
## 2 3 3 3 1 3 3 3 2 3
## 68599 68630 68725 68732 68744 68748 68821 68825 68826 68852
## 1 3 2 3 1 3 3 3 2 3
## 68859 68878 68923 68933 68972 69000 69013 69037 69059 69145
## 3 3 2 3 3 3 3 3 1 3
## 69166 69180 69211 69228 69231 69242 69286 69437 69443 69480
## 2 2 3 1 2 2 3 3 3 1
## 69498 69503 69523 69535 69539 69561 69566 69579 69591 69615
## 3 3 2 3 3 2 1 3 1 3
## 69617 69697 69704 69713 69718 69781 69800 69818 69827 69865
## 2 3 3 3 1 2 3 3 3 2
## 69867 69928 69934 69999 70010 70018 70110 70191 70264 70268
## 3 3 2 3 1 2 2 3 2 3
## 70337 70350 70405 70488 70505 70525 70555 70638 70658 70685
## 2 3 3 3 2 3 3 3 3 3
## 70710 70742 70756 70790 70796 70803 70858 70919 70933 70948
## 1 3 3 3 3 2 3 2 3 3
## 70959 70962 70982 70994 71043 71053 71079 71099 71106 71108
## 3 3 3 2 3 3 2 2 2 3
## 71149 71158 71167 71219 71239 71249 71294 71320 71358 71431
## 2 3 3 3 3 3 3 3 1 3
## 71471 71484 71555 71576 71635 71668 71680 71681 71695 71726
## 2 3 3 2 3 3 3 3 3 2
## 71843 71852 71860 71874 72005 72047 72066 72094 72096 72127
## 3 3 2 3 2 2 3 3 3 2
## 72150 72186 72214 72227 72244 72266 72298 72351 72363 72370
## 3 3 3 3 3 2 3 2 2 2
## 72404 72414 72425 72429 72440 72448 72452 72567 72618 72619
## 3 1 3 3 2 2 1 3 1 2
## 72630 72674 72681 72716 72739 72764 72849 72879 72897 72948
## 2 1 3 3 1 3 3 3 3 3
## 72999 73035 73069 73075 73106 73128 73142 73150 73208 73209
## 3 1 2 1 1 3 2 2 3 3
## 73213 73219 73235 73285 73322 73333 73341 73365 73389 73393
## 2 3 2 3 3 2 3 3 3 3
## 73506 73509 73531 73542 73591 73624 73628 73648 73659 73694
## 3 3 2 3 3 3 3 3 2 3
## 73696 73728 73732 73740 73757 73804 73820 73853 73899 73910
## 3 3 3 2 3 3 3 3 2 3
## 73931 73942 74014 74026 74040 74049 74061 74120 74150 74195
## 3 3 3 3 3 2 3 3 3 2
## 74216 74221 74226 74228 74257 74268 74335 74343 74357 74361
## 3 3 3 3 3 2 3 3 3 2
## 74366 74367 74406 74411 74418 74465 74488 74500 74577 74639
## 2 2 2 3 2 3 3 3 2 3
## 74640 74664 74676 74711 74717 74720 74744 74750 74751 74799
## 3 3 3 2 3 3 3 3 3 2
## 74812 74815 74835 74868 74888 74972 75000 75014 75020 75077
## 3 2 2 2 3 2 3 3 3 3
## 75129 75143 75161 75163 75173 75179 75238 75243 75256 75276
## 3 3 3 2 3 1 2 3 2 3
## 75277 75285 75312 75392 75410 75413 75425 75455 75466 75493
## 3 3 3 2 2 3 3 3 2 3
## 75539 75562 75565 75582 75604 75628 75658 75693 75724 75727
## 2 3 3 2 3 1 3 3 3 3
## 75732 75733 75737 75747 75786 75804 75845 75865 75870 75894
## 1 3 3 1 3 3 2 2 3 3
## 75913 75921 75935 75949 75977 76027 76123 76133 76135 76183
## 2 3 3 1 3 3 2 3 2 1
## 76204 76215 76243 76258 76264 76319 76342 76357 76402 76422
## 1 3 3 3 2 2 2 2 3 1
## 76460 76499 76502 76598 76607 76612 76622 76708 76718 76729
## 3 3 2 2 2 3 3 3 1 3
## 76760 76776 76836 76851 76875 76883 76890 76929 76986 77028
## 3 3 3 2 3 3 2 3 3 3
## 77096 77139 77153 77160 77183 77241 77242 77303 77318 77341
## 3 3 2 2 3 3 1 1 3 2
## 77357 77420 77546 77622 77711 77713 77725 77740 77741 77763
## 3 3 3 3 2 2 3 3 2 2
## 77788 77800 77803 77805 77812 77820 77836 77841 77907 77990
## 2 3 2 1 3 3 3 3 3 2
## 77992 77995 78012 78075 78083 78084 78140 78166 78169 78190
## 2 2 3 3 3 3 2 3 2 1
## 78225 78234 78274 78412 78473 78498 78512 78577 78593 78620
## 3 1 2 3 3 3 2 3 3 3
## 78642 78658 78676 78708 78754 78770 78775 78780 78781 78802
## 3 3 1 3 2 3 3 3 3 3
## 78805 78810 78816 78834 78853 78859 78872 78878 78895 78942
## 3 3 2 3 2 3 2 3 3 3
## 78947 78964 78999 79023 79075 79083 79092 79095 79118 79121
## 2 3 1 2 3 3 3 2 3 3
## 79138 79190 79200 79219 79242 79291 79344 79405 79410 79627
## 3 2 2 3 3 1 3 3 2 2
## 79631 79633 79694 79736 79739 79819 79843 79864 79895 79967
## 2 3 3 3 3 3 3 3 3 3
## 80069 80120 80146 80165 80226 80240 80287 80299 80377 80391
## 3 2 1 3 3 1 2 3 2 3
## 80411 80452 80456 80458 80502 80511 80522 80545 80546 80552
## 1 3 3 3 3 1 3 3 3 2
## 80574 80591 80667 80748 80755 80772 80787 80801 80804 80821
## 3 3 3 3 3 2 3 3 3 1
## 80831 80839 80849 80883 80888 80915 80996 81044 81051 81052
## 3 3 2 2 2 3 2 3 3 3
## 81072 81155 81171 81189 81204 81225 81286 81349 81373 81414
## 3 3 3 2 2 3 2 2 3 1
## 81482 81496 81529 81541 81608 81617 81637 81655 81671 81681
## 3 3 2 2 2 2 3 1 1 3
## 81765 81811 81812 81818 81822 81828 81887 81890 81934 81948
## 2 3 3 3 2 2 2 3 3 3
## 82053 82059 82121 82152 82178 82223 82225 82233 82235 82302
## 3 3 2 2 3 2 3 3 1 3
## 82331 82336 82378 82379 82399 82402 82431 82442 82511 82533
## 2 3 2 3 3 2 3 1 2 2
## 82585 82597 82627 82635 82724 82742 82746 82764 82780 82786
## 1 2 3 3 3 2 3 3 2 3
## 82798 82907 82978 82980 82991 82996 83000 83005 83017 83031
## 3 2 2 1 2 3 2 2 2 2
## 83038 83043 83083 83085 83133 83141 83167 83179 83193 83206
## 3 3 3 2 3 3 3 3 1 1
## 83211 83312 83315 83327 83390 83406 83424 83510 83527 83559
## 3 1 3 3 3 2 3 2 2 3
## 83563 83567 83569 83600 83641 83700 83772 83809 83854 83903
## 3 3 3 3 2 2 2 3 3 3
## 83915 83944 83948 83987 84043 84098 84109 84157 84195 84231
## 2 3 2 3 2 3 3 3 2 3
## 84232 84271 84345 84362 84401 84410 84412 84422 84436 84465
## 3 2 3 3 2 3 2 3 2 2
## 84492 84497 84561 84576 84612 84623 84641 84700 84711 84717
## 3 2 3 2 3 2 2 2 3 2
## 84726 84732 84784 84836 84866 84882 84896 84996 84998 85010
## 3 3 2 3 3 2 3 3 3 2
## 85041 85064 85117 85124 85159 85160 85226 85269 85275 85276
## 3 3 2 3 3 3 3 3 2 3
## 85326 85364 85376 85389 85431 85435 85445 85447 85457 85459
## 2 1 3 3 1 3 3 3 3 1
## 85469 85470 85492 85524 85529 85548 85600 85668 85712 85769
## 1 3 3 3 3 2 3 2 3 3
## 85783 85815 85821 85850 85871 85925 85948 85965 85967 85994
## 3 2 3 1 2 3 3 3 3 3
## 86007 86011 86013 86048 86116 86120 86149 86153 86179 86264
## 3 3 3 2 3 2 2 3 1 3
## 86299 86325 86385 86415 86462 86468 86486 86501 86516 86560
## 3 3 3 3 2 3 3 3 3 2
## 86565 86598 86599 86670 86684 86689 86715 86777 86808 86811
## 2 2 3 2 3 3 3 3 2 3
## 86814 86858 86880 86887 86892 86914 86945 87021 87101 87147
## 2 2 3 2 2 3 3 2 2 2
## 87152 87157 87175 87250 87251 87253 87258 87308 87325 87326
## 3 1 3 3 3 3 2 2 2 2
## 87365 87394 87404 87419 87433 87437 87457 87502 87508 87515
## 3 2 3 2 3 2 3 3 2 2
## 87520 87551 87555 87564 87568 87586 87596 87636 87643 87649
## 3 3 3 3 3 3 3 3 2 3
## 87652 87719 87774 87846 87851 87878 87880 87911 87914 87920
## 3 3 3 3 3 2 2 3 2 3
## 87938 87940 87943 87953 87961 87974 87975 88017 88049 88052
## 3 3 3 3 3 3 2 2 3 3
## 88082 88192 88203 88211 88231 88238 88383 88411 88458 88461
## 2 2 2 3 3 3 3 2 2 2
## 88487 88540 88585 88609 88620 88638 88649 88656 88673 88681
## 3 3 3 3 3 2 2 2 3 3
## 88701 88709 88772 88784 88803 88809 88828 88829 88869 88881
## 3 3 3 1 2 3 2 2 3 2
## 88925 88929 88996 89029 89041 89070 89089 89094 89096 89103
## 3 2 3 3 3 3 2 2 1 3
## 89130 89176 89194 89198 89236 89277 89285 89287 89297 89304
## 2 3 2 2 2 3 2 1 3 1
## 89365 89372 89384 89395 89404 89415 89452 89453 89493 89498
## 1 3 3 2 3 3 2 3 2 3
## 89667 89680 89684 89730 89732 89749 89770 89775 89820 89926
## 3 2 3 2 3 3 3 3 2 3
## 89965 89997 90007 90030 90069 90088 90104 90149 90156 90166
## 3 2 3 3 2 3 3 3 3 3
## 90198 90209 90214 90249 90251 90300 90330 90340 90381 90389
## 3 3 3 3 3 3 2 3 3 2
## 90420 90465 90479 90485 90526 90584 90632 90641 90670 90692
## 3 3 3 2 2 3 1 3 3 2
## 90744 90771 90779 90782 90863 90866 90887 90904 90909 90963
## 2 2 3 2 3 2 3 3 3 3
## 90979 90988 91020 91036 91039 91058 91061 91120 91140 91167
## 2 2 3 3 3 2 3 3 3 2
## 91230 91231 91245 91277 91281 91317 91381 91389 91413 91421
## 2 3 2 2 2 3 2 3 2 3
## 91469 91496 91498 91506 91514 91541 91544 91572 91680 91691
## 3 3 2 3 3 3 3 2 3 3
## 91711 91730 91732 91753 91782 91787 91792 91821 91829 91864
## 3 1 3 3 3 3 3 3 3 2
## 91888 91897 91950 91969 91972 91977 91978 91985 91989 91993
## 2 3 3 3 3 2 3 3 3 3
## 92066 92077 92131 92139 92140 92151 92217 92291 92345 92481
## 3 3 2 3 3 3 3 3 3 3
## 92483 92501 92516 92529 92543 92573 92620 92626 92673 92712
## 3 1 3 2 3 3 3 3 1 1
## 92770 92793 92860 92867 92937 92950 93013 93015 93051 93066
## 3 1 3 3 3 3 3 3 2 2
## 93099 93141 93142 93163 93189 93220 93224 93285 93286 93287
## 2 3 3 3 3 2 3 2 3 3
## 93300 93338 93372 93435 93438 93478 93537 93621 93627 93632
## 3 2 2 3 3 3 3 3 3 3
## 93669 93714 93725 93728 93752 93757 93788 93813 93836 93838
## 2 2 3 2 3 3 3 3 3 3
## 93997 94035 94043 94117 94204 94208 94238 94259 94294 94304
## 3 3 3 3 1 3 2 3 3 2
## 94339 94356 94371 94425 94449 94547 94574 94615 94632 94662
## 3 3 3 2 3 2 2 3 3 3
## 94688 94713 94802 94812 94850 94921 94973 94975 95002 95018
## 3 3 1 3 3 3 3 3 2 3
## 95041 95056 95141 95153 95181 95231 95238 95264 95348 95376
## 2 2 2 3 3 3 2 3 3 2
## 95384 95393 95472 95487 95500 95506 95511 95555 95635 95709
## 3 2 3 2 3 3 3 2 2 3
## 95729 95766 95833 95853 95885 95941 95982 95983 95996 96006
## 3 3 2 3 2 2 3 2 2 3
## 96039 96067 96156 96170 96171 96209 96263 96264 96288 96292
## 3 2 3 3 3 3 3 3 2 2
## 96353 96380 96425 96477 96495 96517 96520 96593 96621 96623
## 3 1 3 3 3 3 3 3 2 3
## 96647 96663 96673 96689 96738 96776 96828 96849 96855 96901
## 2 2 3 3 2 1 3 3 3 3
## 96928 96944 96971 96972 96989 97001 97009 97150 97185 97216
## 3 1 2 2 2 1 2 3 2 3
## 97220 97231 97244 97303 97336 97340 97361 97464 97481 97539
## 3 2 2 2 2 3 2 3 3 2
## 97591 97633 97654 97665 97685 97709 97734 97751 97758 97762
## 1 3 3 2 3 3 3 3 2 1
## 97790 97812 97894 97905 97972 97989 98006 98008 98028 98033
## 3 3 2 3 3 3 2 3 2 2
## 98035 98076 98137 98150 98195 98224 98271 98284 98290 98299
## 3 3 2 3 2 3 3 2 1 1
## 98309 98315 98345 98392 98439 98440 98449 98476 98500 98526
## 3 3 3 3 3 3 2 2 3 3
## 98536 98539 98588 98595 98619 98640 98696 98725 98765 98801
## 2 3 3 3 3 3 3 3 2 3
## 98841 98853 98880 98906 98910 98953 98966 98974 99032 99043
## 3 3 3 1 3 2 3 2 2 2
## 99045 99062 99076 99091 99138 99146 99165 99176 99216 99317
## 3 3 3 3 2 1 2 3 3 3
## 99403 99420 99427 99447 99456 99516 99519 99527 99559 99579
## 3 2 3 3 3 3 3 3 2 3
## 99639 99670 99671 99685 99690 99704 99721 99739 99742 99786
## 3 2 2 2 2 3 2 3 3 2
## 99810 99834 99882 99886 99908 99922 99948 99962 99975 99986
## 3 3 3 1 3 3 3 3 3 3
## 100002 100016 100019 100098 100107 100224 100229 100240 100248 100257
## 2 3 2 3 1 3 3 3 3 2
## 100305 100309 100311 100338 100354 100402 100412 100486 100514 100520
## 2 3 3 3 2 3 2 2 2 3
## 100542 100552 100589 100640 100655 100695 100729 100750 100751 100762
## 3 2 3 2 3 3 3 2 3 3
## 100774 100785 100824 100845 100863 100897 100901 101018 101021 101023
## 2 3 3 2 3 3 1 3 1 1
## 101053 101178 101210 101243 101249 101305 101350 101398 101401 101404
## 3 2 3 2 3 3 3 1 3 2
## 101424 101470 101475 101506 101526 101529 101564 101622 101627 101629
## 2 3 3 3 3 2 3 2 3 3
## 101704 101818 101855 101900 101950 101955 101956 101980 101994 102032
## 2 2 3 3 2 2 3 1 3 3
## 102046 102056 102102 102110 102133 102156 102229 102235 102237 102310
## 2 2 3 2 3 3 3 2 3 3
## 102337 102371 102445 102460 102519 102538 102557 102580 102592 102611
## 2 3 3 3 3 3 3 3 3 3
## 102652 102656 102716 102749 102791 102809 102917 102925 102939 102964
## 3 3 3 3 3 3 2 3 3 3
## 102977 102984 103002 103060 103216 103217 103254 103267 103308 103346
## 3 3 3 3 2 3 3 1 3 3
## 103376 103405 103444 103511 103546 103637 103681 103699 103719 103720
## 3 3 3 3 3 3 1 3 3 2
## 103755 103763 103793 103801 103804 103821 103844 103846 103979 104045
## 2 3 2 3 2 3 2 3 2 3
## 104048 104056 104073 104090 104121 104129 104166 104173 104212 104213
## 2 3 3 3 3 2 1 3 2 3
## 104229 104242 104314 104365 104389 104415 104419 104436 104463 104547
## 3 1 2 3 3 2 3 2 3 1
## 104553 104607 104655 104664 104748 104808 104843 104846 104854 104863
## 1 3 2 3 3 2 1 3 3 3
## 104878 104937 104939 104957 105050 105057 105062 105099 105145 105153
## 2 2 2 2 3 3 2 3 2 1
## 105178 105194 105246 105251 105275 105301 105302 105365 105430 105438
## 3 2 2 2 2 2 2 2 2 2
## 105451 105455 105479 105519 105530 105585 105601 105607 105624 105646
## 3 3 3 3 3 2 3 2 3 2
## 105649 105654 105680 105716 105725 105753 105793 105881 105886 105895
## 3 2 3 2 2 3 3 3 3 3
## 105903 105953 105956 106004 106015 106019 106052 106064 106072 106121
## 3 2 3 3 3 2 2 3 3 3
## 106181 106201 106215 106220 106222 106230 106235 106246 106254 106278
## 3 3 3 3 3 3 3 3 2 2
## 106384 106399 106463 106478 106497 106505 106529 106582 106619 106627
## 3 3 3 3 3 3 3 3 1 2
## 106654 106689 106738 106744 106755 106765 106768 106867 106895 106899
## 2 2 3 3 3 3 3 1 3 2
## 106921 106953 106983 107009 107032 107117 107122 107125 107138 107164
## 2 3 3 3 3 2 3 3 3 2
## 107178 107190 107194 107216 107251 107258 107290 107347 107348 107388
## 3 2 1 3 3 3 3 3 2 3
## 107393 107453 107467 107482 107493 107541 107549 107565 107585 107587
## 2 3 3 2 3 3 3 3 3 3
## 107600 107615 107621 107625 107648 107734 107738 107751 107760 107795
## 3 2 2 3 3 1 3 2 1 2
## 107830 107883 107900 107903 107909 107911 107929 107934 108090 108091
## 3 3 2 3 1 3 2 3 2 3
## 108120 108166 108188 108189 108193 108196 108197 108201 108225 108230
## 2 3 3 2 2 3 3 2 2 3
## 108238 108282 108359 108382 108419 108454 108457 108480 108502 108515
## 2 3 3 3 2 2 3 3 3 3
## 108583 108609 108678 108725 108814 108824 108860 108871 108890 108943
## 2 1 3 2 3 1 2 3 3 3
## 108953 108977 108979 108984 108985 108994 109014 109026 109043 109077
## 3 3 2 2 3 2 1 2 2 3
## 109080 109117 109275 109284 109292 109323 109346 109363 109386 109404
## 3 3 3 2 3 2 3 3 3 2
## 109431 109454 109492 109505 109508 109646 109659 109725 109749 109797
## 1 2 2 3 2 3 2 3 2 3
## 109820 109831 109855 109872 109942 109951 109977 109978 109994 110069
## 3 3 2 3 2 2 2 3 3 3
## 110076 110086 110109 110117 110142 110145 110171 110211 110213 110248
## 3 2 3 2 3 3 2 2 3 3
## 110253 110298 110311 110336 110363 110381 110383 110444 110469 110484
## 2 3 2 3 3 2 2 3 3 2
## 110545 110574 110608 110678 110715 110716 110780 110799 110836 110882
## 2 3 3 3 3 3 3 2 2 3
## 110897 110908 110915 110998 111018 111028 111046 111071 111222 111228
## 1 2 2 1 2 3 2 3 3 2
## 111233 111255 111274 111284 111288 111324 111328 111365 111384 111398
## 3 3 3 3 3 3 2 2 2 3
## 111418 111436 111457 111460 111469 111494 111503 111529 111531 111550
## 3 3 2 3 3 3 2 3 2 3
## 111566 111615 111617 111647 111682 111696 111703 111753 111755 111806
## 2 2 3 3 2 3 3 3 3 3
## 111811 111814 111824 111828 111857 111879 111938 111974 112035 112039
## 3 3 2 3 3 3 3 2 3 3
## 112048 112059 112081 112136 112158 112159 112214 112225 112243 112254
## 3 1 3 3 3 2 2 3 1 3
## 112294 112327 112345 112348 112380 112391 112401 112480 112534 112546
## 2 2 3 3 1 3 3 3 3 2
## 112562 112569 112582 112606 112639 112649 112672 112678 112687 112733
## 3 3 3 1 3 2 3 3 3 2
## 112766 112770 112782 112784 112816 112862 112902 112914 112963 112975
## 3 3 3 3 2 1 2 3 2 3
## 112989 113040 113085 113090 113106 113116 113118 113141 113154 113157
## 2 3 1 1 2 3 3 2 3 3
## 113229 113267 113270 113379 113385 113402 113482 113491 113538 113543
## 3 3 3 3 1 2 2 1 2 2
## 113591 113614 113661 113683 113702 113717 113722 113733 113749 113756
## 2 3 2 2 3 2 2 3 3 3
## 113762 113764 113779 113822 113837 113860 113864 113878 113901 113911
## 3 1 3 3 1 2 3 2 3 1
## 113979 114003 114054 114088 114142 114157 114195 114209 114300 114346
## 1 1 2 3 3 3 3 3 3 3
## 114359 114377 114403 114458 114554 114665 114673 114682 114700 114761
## 3 3 3 3 2 3 2 3 3 3
## 114767 114823 114859 114877 114920 114922 114924 114927 114944 114953
## 3 3 3 2 2 2 3 2 1 3
## 114975 115039 115043 115089 115093 115167 115190 115216 115233 115254
## 3 2 3 1 3 3 1 3 3 3
## 115267 115277 115280 115301 115352 115354 115404 115421 115454 115512
## 2 3 3 3 3 1 1 2 3 2
## 115576 115621 115638 115647 115655 115672 115692 115699 115705 115711
## 3 2 2 2 3 2 3 2 3 2
## 115735 115739 115784 115797 116021 116052 116055 116113 116125 116145
## 1 2 3 3 3 2 2 3 3 3
## 116153 116192 116222 116241 116259 116270 116337 116397 116488 116514
## 3 3 3 3 3 3 3 2 2 3
## 116516 116621 116649 116700 116701 116713 116747 116772 116796 116820
## 2 3 3 2 3 3 1 2 3 3
## 116834 116888 116892 116895 116914 116917 116965 116969 117003 117009
## 3 2 3 3 3 3 3 3 3 1
## 117021 117025 117053 117093 117095 117103 117115 117157 117208 117218
## 2 2 3 3 2 2 3 2 3 2
## 117293 117449 117457 117467 117490 117563 117576 117592 117634 117657
## 3 3 2 2 2 3 3 1 1 1
## 117703 117720 117730 117734 117754 117777 117818 117820 117841 117864
## 3 3 2 3 3 1 3 3 3 3
## 117876 117877 117986 117987 118026 118035 118045 118103 118105 118124
## 1 2 3 3 3 3 3 3 3 3
## 118162 118165 118222 118232 118281 118283 118284 118304 118309 118366
## 3 2 3 1 3 1 3 2 2 3
## 118381 118420 118424 118425 118436 118457 118529 118546 118550 118640
## 3 2 2 2 3 2 3 3 3 2
## 118701 118758 118762 118804 118806 118836 118851 118908 118921 118923
## 3 1 2 2 3 3 3 2 2 3
## 118958 118983 119024 119038 119074 119078 119108 119137 119244 119259
## 3 2 3 2 3 3 3 3 3 3
## 119299 119313 119317 119321 119346 119374 119408 119432 119462 119532
## 2 2 3 3 2 1 2 2 3 3
## 119590 119640 119691 119710 119738 119743 119767 119777 119780 119812
## 3 1 3 3 3 2 3 3 3 2
## 119823 119826 119849 119858 119906 119933 119936 119943 119947 119953
## 3 2 3 2 2 2 3 3 2 3
## 119954 120013 120025 120033 120039 120130 120142 120187 120239 120262
## 2 3 3 3 3 3 3 1 3 2
## 120270 120294 120418 120419 120423 120494 120525 120554 120569 120580
## 3 2 2 3 3 2 2 2 3 3
## 120584 120628 120644 120749 120792 120800 120810 120831 120869 120894
## 3 2 3 3 3 2 2 2 3 2
## 120896 120924 120946 120981 120993 121033 121055 121078 121080 121085
## 3 3 3 3 3 3 2 2 3 3
## 121096 121105 121133 121134 121179 121214 121225 121246 121302 121365
## 3 3 3 3 3 2 3 3 3 1
## 121375 121416 121425 121462 121473 121539 121621 121636 121644 121654
## 2 3 3 3 2 3 3 2 2 1
## 121663 121681 121683 121698 121707 121711 121713 121715 121725 121731
## 3 3 3 2 2 2 2 3 3 3
## 121746 121801 121807 121814 121848 121862 121875 121884 121893 121922
## 3 3 3 3 3 3 2 3 2 2
## 121947 121952 121956 122008 122028 122034 122039 122074 122092 122107
## 3 3 3 3 2 2 3 2 3 2
## 122157 122162 122251 122274 122301 122330 122357 122362 122417 122427
## 3 1 2 2 3 3 3 3 3 3
## 122436 122463 122472 122523 122559 122565 122582 122623 122635 122674
## 3 2 2 3 3 3 3 3 3 2
## 122679 122685 122759 122765 122845 122856 122947 122986 122994 123118
## 2 2 3 3 2 1 2 3 3 2
## 123168 123188 123198 123243 123330 123345 123349 123400 123535 123536
## 1 1 3 3 3 2 1 2 3 2
## 123555 123566 123590 123621 123641 123660 123661 123684 123689 123731
## 3 3 3 3 3 3 3 2 3 3
## 123741 123763 123764 123774 123844 123877 123881 123897 123925 123937
## 2 2 3 1 2 3 3 3 2 3
## 123963 123998 124045 124064 124070 124071 124089 124111 124131 124135
## 2 3 3 2 3 3 2 3 3 3
## 124164 124179 124180 124276 124315 124326 124328 124334 124355 124364
## 2 3 3 3 2 2 3 2 2 3
## 124449 124459 124469 124601 124611 124613 124679 124789 124843 124856
## 3 3 2 3 3 3 3 3 3 3
## 124868 124874 124896 124914 124920 124932 124941 124978 125022 125026
## 2 1 2 2 2 2 3 3 2 3
## 125064 125066 125073 125128 125132 125176 125180 125198 125225 125294
## 2 2 3 2 3 2 3 3 2 3
## 125413 125471 125478 125510 125530 125533 125567 125588 125610 125648
## 3 3 3 2 3 3 2 3 3 3
## 125652 125673 125680 125683 125738 125791 125839 125845 125851 125933
## 3 3 3 3 3 3 3 3 2 3
## 125958 125973 125980 126008 126035 126087 126125 126170 126202 126212
## 3 3 1 3 3 3 3 3 1 3
## 126227 126248 126275 126286 126300 126317 126425 126437 126453 126458
## 2 3 2 3 3 2 3 2 3 2
## 126463 126542 126573 126593 126662 126686 126730 126754 126767 126799
## 2 3 2 3 3 2 3 3 3 3
## 126800 126811 126830 126844 126848 126863 126927 126943 126954 126957
## 3 2 2 3 3 2 3 2 2 3
## 126959 126978 127012 127023 127047 127050 127054 127067 127108 127111
## 3 2 3 3 3 3 3 3 2 2
## 127121 127132 127141 127147 127158 127285 127299 127390 127413 127427
## 3 2 1 3 2 3 3 2 2 3
## 127458 127526 127528 127531 127557 127600 127627 127635 127673 127712
## 2 3 2 2 2 3 1 3 3 3
## 127745 127765 127815 127818 127914 127923 127961 127964 127996 128001
## 1 3 3 2 3 1 2 3 2 3
## 128040 128056 128132 128139 128146 128148 128153 128181 128205 128207
## 3 2 2 3 2 1 3 2 3 3
## 128235 128242 128327 128348 128358 128417 128424 128431 128437 128467
## 2 2 3 2 2 2 3 3 2 3
## 128499 128503 128540 128596 128649 128664 128725 128733 128757 128768
## 3 3 3 3 1 3 2 2 3 3
## 128779 128803 128827 128879 128905 128920 128930 128936 128953 128965
## 3 3 3 2 3 3 2 2 1 3
## 128971 129017 129021 129044 129056 129113 129148 129157 129182 129217
## 3 3 3 3 3 3 3 3 3 2
## 129221 129330 129340 129380 129401 129407 129531 129537 129540 129548
## 3 3 2 2 3 3 3 3 2 3
## 129569 129591 129620 129638 129644 129750 129769 129771 129791 129808
## 3 3 3 3 2 2 2 3 1 2
## 129821 129839 129888 129907 129912 129925 129930 129943 129966 129972
## 2 2 3 3 2 2 2 2 1 3
## 130000 130032 130036 130040 130068 130076 130082 130110 130125 130130
## 3 3 3 3 2 3 3 2 2 2
## 130192 130279 130289 130290 130349 130350 130365 130383 130400 130428
## 2 2 2 3 3 3 2 3 3 2
## 130447 130494 130575 130584 130599 130605 130655 130761 130771 130795
## 2 3 2 2 2 3 3 2 2 2
## 130809 130819 130917 130986 131016 131022 131034 131062 131066 131078
## 3 1 3 2 3 3 3 2 3 2
## 131143 131161 131182 131197 131201 131202 131231 131303 131346 131365
## 2 3 2 3 3 3 2 2 1 3
## 131377 131460 131514 131627 131747 131824 131848 131855 131870 131871
## 2 3 3 3 3 3 3 2 3 3
## 131903 131932 131933 131970 131975 132007 132026 132038 132064 132118
## 3 3 2 1 2 3 3 3 2 3
## 132161 132171 132180 132257 132272 132318 132339 132353 132427 132446
## 3 3 3 3 3 3 3 2 3 3
## 132451 132463 132479 132489 132533 132542 132570 132576 132627 132640
## 3 3 3 3 3 3 3 2 3 3
## 132641 132683 132709 132726 132735 132745 132759 132899 132993 133010
## 3 2 2 3 3 3 3 3 3 2
## 133053 133056 133064 133083 133107 133112 133131 133165 133166 133190
## 2 3 3 3 3 3 2 3 2 3
## 133224 133231 133233 133235 133241 133287 133304 133305 133327 133332
## 3 3 3 3 2 3 3 3 2 3
## 133360 133379 133401 133407 133419 133523 133531 133569 133581 133605
## 3 2 3 3 3 2 3 2 2 3
## 133683 133686 133688 133721 133740 133767 133768 133797 133807 133817
## 2 3 3 3 3 2 3 2 2 3
## 133841 133862 133928 133944 133972 134021 134033 134038 134069 134071
## 2 3 2 3 3 3 2 2 3 3
## 134072 134080 134085 134086 134147 134188 134218 134225 134265 134302
## 3 1 2 2 2 3 3 3 2 2
## 134305 134324 134364 134374 134377 134422 134431 134468 134475 134487
## 2 3 3 3 3 2 2 3 3 2
## 134492 134504 134508 134544 134545 134569 134610 134615 134663 134688
## 2 2 2 2 1 1 3 2 3 3
## 134706 134716 134729 134807 134824 134836 134902 134919 134995 135053
## 1 2 3 3 3 3 3 3 3 1
## 135097 135120 135165 135170 135262 135355 135363 135414 135419 135456
## 3 2 2 3 3 2 2 1 3 2
## 135467 135480 135502 135513 135517 135574 135582 135598 135603 135683
## 3 3 1 3 3 3 2 3 3 3
## 135687 135691 135815 135827 135838 135840 135873 135890 135903 135909
## 3 3 1 3 3 2 1 3 2 3
## 135939 135942 135990 136040 136084 136098 136155 136156 136176 136262
## 3 3 3 3 3 2 2 2 3 1
## 136314 136323 136341 136351 136439 136440 136559 136577 136625 136648
## 2 3 3 3 3 3 3 2 3 3
## 136651 136656 136664 136670 136750 136787 136836 136877 136885 136915
## 2 2 3 2 3 3 2 3 2 3
## 136936 136949 136955 136958 136965 136990 137018 137021 137078 137140
## 1 2 3 3 3 3 3 3 3 2
## 137176 137198 137251 137290 137293 137302 137371 137405 137483 137494
## 3 3 3 1 2 2 3 2 3 1
## 137616 137656 137665 137670 137693 137731 137762 137792 137883 137911
## 3 1 2 3 2 1 3 2 1 2
## 137926 137976 138019 138057 138101 138109 138112 138115 138123 138125
## 3 1 3 3 3 3 2 1 3 3
## 138126 138151 138152 138180 138231 138319 138328 138337 138364 138367
## 2 3 3 3 3 3 3 1 2 3
## 138415 138424 138439 138447 138479 138513 138576 138593 138597 138641
## 2 3 2 3 3 3 2 3 2 2
## 138679 138714 138756 138767 138773 138870 138877 138879 138896 138904
## 2 2 2 2 2 3 3 3 3 3
## 138954 139051 139093 139095 139110 139159 139176 139208 139219 139223
## 3 2 3 3 2 2 3 3 2 3
## 139259 139279 139293 139303 139352 139369 139388 139438 139458 139460
## 3 3 1 3 3 3 2 3 2 3
## 139468 139474 139520 139582 139595 139626 139707 139762 139816 139845
## 2 2 1 3 3 2 2 2 2 2
## 139848 139862 139898 139903 139917 139935 139987 139994 140022 140046
## 3 2 2 2 3 3 3 2 3 1
## 140066 140119 140179 140190 140222 140227 140229 140247 140273 140289
## 2 2 2 3 2 1 2 3 2 3
## 140398 140438 140463 140497 140568 140590 140599 140625 140651 140658
## 2 1 3 3 3 3 3 2 3 3
## 140747 140761 140774 140798 140841 140933 140959 141101 141108 141113
## 2 3 2 3 2 3 2 3 2 3
## 141139 141186 141203 141220 141223 141230 141279 141338 141410 141465
## 3 1 3 2 1 3 3 1 2 3
## 141468 141491 141493 141508 141546 141620 141661 141732 141737 141755
## 2 3 3 3 3 2 3 2 3 3
## 141757 141809 141891 141909 141933 141989 142036 142041 142042 142055
## 2 3 3 2 3 1 3 3 2 2
## 142056 142062 142083 142094 142106 142178 142212 142218 142232 142275
## 3 3 3 3 3 3 3 1 3 3
## 142280 142293 142338 142373 142381 142441 142452 142479 142483 142485
## 3 1 2 2 3 3 2 1 3 2
## 142524 142556 142602 142611 142655 142683 142717 142734 142743 142744
## 1 3 3 2 3 2 3 3 3 2
## 142787 142804 142806 142819 142829 142845 142854 142894 142897 142962
## 3 3 2 3 3 3 3 2 2 2
## 143003 143070 143142 143179 143181 143183 143228 143231 143288 143351
## 3 3 3 2 3 3 3 2 3 2
## 143365 143367 143384 143421 143423 143535 143574 143587 143594 143641
## 2 3 3 2 3 3 2 2 3 2
## 143778 143795 143802 143917 143924 144004 144064 144065 144080 144091
## 3 3 2 2 3 3 3 2 2 3
## 144106 144123 144130 144134 144167 144196 144228 144229 144254 144283
## 2 3 2 2 3 3 1 3 3 3
## 144367 144414 144449 144482 144499 144505 144540 144562 144590 144606
## 3 3 3 3 3 2 3 3 2 3
## 144626 144650 144680 144695 144722 144791 144824 144856 144878 144884
## 1 2 3 3 3 3 3 1 2 3
## 144901 144912 144921 144933 144967 145008 145039 145046 145049 145059
## 3 3 3 2 3 2 3 3 2 2
## 145102 145104 145181 145241 145269 145280 145351 145355 145361 145403
## 2 3 2 3 2 3 3 3 2 3
## 145430 145441 145463 145591 145637 145651 145659 145685 145711 145746
## 2 3 3 3 3 3 3 2 1 3
## 145757 145765 145770 145795 145880 145886 145953 145969 145972 145992
## 3 3 2 3 2 2 2 3 2 2
## 146003 146014 146085 146133 146144 146172 146251 146288 146304 146344
## 3 1 3 3 3 3 3 2 3 3
## 146345 146353 146425 146492 146519 146538 146556 146560 146593 146596
## 3 3 2 3 3 3 3 3 3 3
## 146625 146628 146665 146698 146704 146710 146713 146754 146783 146802
## 3 2 3 3 2 2 2 3 3 3
## 146852 146868 146876 146886 146897 146930 146938 146951 147008 147012
## 3 2 3 3 2 3 2 2 3 2
## 147036 147075 147076 147117 147156 147181 147228 147291 147347 147371
## 2 2 2 3 3 3 2 3 3 3
## 147394 147400 147427 147430 147460 147468 147489 147522 147621 147630
## 2 3 3 3 3 3 3 3 3 3
## 147649 147668 147687 147703 147709 147722 147762 147779 147790 147820
## 3 3 2 1 3 3 3 3 3 2
## 147886 147902 147927 147939 147957 147979 147985 148049 148085 148168
## 3 2 2 3 2 1 3 3 2 2
## 148199 148202 148211 148223 148245 148248 148338 148359 148365 148421
## 3 3 3 3 2 3 2 3 2 2
## 148469 148476 148478 148501 148503 148517 148548 148602 148605 148618
## 2 2 3 3 3 2 1 2 2 2
## 148685 148686 148708 148720 148733 148791 148806 148818 148822 148866
## 3 3 3 3 2 2 3 3 2 2
## 148897 148918 148922 148927 148940 149025 149061 149081 149085 149122
## 2 3 3 3 3 2 2 2 3 3
## 149124 149134 149177 149192 149196 149228 149254 149255 149274 149293
## 2 3 3 3 3 2 2 3 2 3
## 149323 149360 149426 149461 149484 149548 149550 149577 149579 149615
## 2 3 3 2 2 3 2 1 3 3
## 149666 149674 149696 149805 149829 149863 149874 149901 149923 149933
## 2 2 2 1 3 3 2 3 3 2
## 149936 149968 149994 150007 150119 150121 150231 150264 150312 150330
## 2 1 2 3 3 3 3 3 3 2
## 150369 150387 150403 150424 150501 150533 150563 150580 150599 150680
## 1 2 2 3 3 2 2 3 2 1
## 150691 150698 150704 150734 150748 150753 150765 150781 150792 150804
## 2 3 2 2 3 2 1 3 3 3
## 150805 150840 150847 150850 150870 150881 150944 150954 150987 150991
## 3 2 2 3 2 2 3 3 3 3
## 151002 151056 151061 151081 151085 151090 151100 151110 151124 151131
## 3 3 3 3 3 3 3 2 2 1
## 151153 151190 151195 151234 151242 151251 151284 151296 151379 151414
## 3 3 1 2 3 2 2 2 3 3
## 151422 151433 151447 151502 151513 151546 151643 151652 151688 151693
## 2 2 1 1 3 2 2 3 3 3
## 151733 151752 151754 151757 151855 151946 151948 151953 151959 151999
## 3 2 3 1 2 1 3 1 2 3
## 152014 152022 152075 152082 152092 152123 152155 152211 152213 152228
## 1 3 3 3 3 3 3 3 2 3
## 152286 152288 152301 152319 152377 152385 152392 152401 152461 152473
## 3 1 2 2 3 3 1 3 2 3
## 152488 152496 152521 152539 152543 152556 152565 152593 152629 152637
## 3 3 3 3 2 2 3 3 3 2
## 152643 152644 152681 152690 152712 152766 152801 152809 152817 152848
## 3 3 3 2 2 3 3 2 1 3
## 152858 152911 152920 152935 153004 153039 153046 153099 153216 153267
## 3 3 3 3 3 3 3 3 2 3
## 153287 153298 153337 153342 153378 153383 153410 153419 153434 153443
## 2 3 2 3 3 2 2 3 3 2
## 153449 153527 153542 153576 153581 153594 153595 153607 153638 153708
## 3 2 3 3 3 3 3 3 2 3
## 153735 153756 153766 153771 153809 153832 153844 153866 153892 153933
## 3 3 1 2 3 2 2 3 3 2
## 153935 153966 153971 153988 154002 154069 154099 154157 154169 154183
## 2 3 2 2 3 2 2 1 2 3
## 154191 154261 154264 154330 154340 154354 154355 154409 154476 154509
## 3 2 3 2 3 2 2 1 2 2
## 154531 154635 154658 154671 154675 154683 154705 154723 154741 154770
## 3 3 2 2 2 2 3 2 1 3
## 154774 154776 154795 154828 154839 154851 154881 154894 154901 154905
## 3 2 1 2 3 3 2 3 3 2
## 154924 154960 154992 155023 155034 155051 155067 155078 155084 155122
## 3 2 3 2 3 3 2 3 3 3
## 155206 155222 155276 155320 155335 155364 155381 155389 155443 155458
## 3 3 3 3 2 3 2 3 3 3
## 155461 155497 155557 155561 155564 155678 155732 155765 155780 155791
## 2 3 3 3 3 1 3 3 3 2
## 155813 155863 155885 155901 155902 155911 155931 155939 155945 156024
## 3 2 2 3 2 3 3 2 3 3
## 156087 156097 156131 156147 156155 156205 156250 156252 156283 156326
## 2 2 2 2 2 2 1 3 2 2
## 156347 156358 156363 156381 156435 156464 156502 156515 156578 156579
## 3 2 3 3 3 2 3 1 3 3
## 156597 156624 156656 156707 156728 156749 156771 156780 156856 156890
## 1 2 3 2 2 2 3 2 2 3
## 156956 156958 157018 157019 157085 157089 157109 157124 157140 157142
## 1 3 3 1 3 3 3 3 1 2
## 157156 157161 157176 157177 157271 157286 157292 157309 157372 157375
## 2 3 2 2 2 1 2 2 3 2
## 157392 157407 157460 157469 157527 157593 157598 157619 157635 157653
## 3 2 3 2 3 3 2 2 2 2
## 157671 157729 157732 157776 157829 157838 157859 157876 157914 157950
## 3 3 2 3 3 2 2 2 3 2
## 158010 158053 158068 158085 158107 158116 158123 158143 158154 158155
## 2 2 1 3 3 3 1 3 3 1
## 158165 158173 158183 158211 158250 158254 158261 158273 158322 158368
## 3 3 3 3 3 1 2 3 3 2
## 158434 158447 158452 158455 158466 158578 158589 158593 158615 158667
## 1 2 3 2 2 2 3 3 3 3
## 158728 158772 158805 158828 158958 158972 158997 159002 159020 159021
## 3 3 2 3 2 2 2 3 2 2
## 159121 159129 159188 159198 159232 159326 159349 159359 159370 159395
## 2 2 2 3 3 3 2 3 3 2
## 159412 159415 159427 159459 159501 159507 159527 159562 159564 159580
## 3 3 3 3 3 2 3 3 3 3
## 159593 159663 159705 159721 159746 159750 159772 159818 159821 159824
## 2 3 1 3 3 3 3 3 3 3
## 159859 159873 159895 159926 159953 159964 159971 159992 160010 160013
## 2 2 3 2 2 3 2 2 2 2
## 160070 160120 160125 160179 160194 160235 160253 160334 160341 160449
## 3 2 2 2 2 2 3 3 2 3
## 160458 160459 160481 160560 160601 160609 160633 160643 160651 160703
## 3 3 2 3 3 3 3 3 3 3
## 160704 160707 160711 160745 160746 160760 160783 160811 160830 160860
## 3 3 3 3 3 2 2 3 3 3
## 160944 160954 160977 160991 161055 161087 161093 161109 161188 161193
## 3 3 3 2 2 2 2 2 3 2
## 161286 161300 161311 161350 161356 161374 161382 161420 161438 161448
## 2 1 3 2 3 3 3 3 2 2
## 161459 161483 161502 161532 161571 161613 161644 161675 161686 161753
## 3 3 3 3 3 3 3 3 3 3
## 161813 161814 161897 161925 161932 161962 161969 162004 162017 162035
## 3 2 1 3 2 1 1 3 3 2
## 162041 162073 162074 162084 162106 162131 162139 162178 162184 162233
## 2 3 3 1 3 3 1 2 2 3
## 162275 162282 162306 162330 162385 162412 162441 162451 162472 162512
## 2 3 3 2 3 2 1 3 3 3
## 162555 162590 162598 162611 162662 162706 162743 162851 162856 162933
## 3 3 3 3 1 2 3 2 3 3
## 162945 163001 163024 163030 163050 163058 163073 163105 163118 163164
## 3 2 3 1 3 3 1 2 3 3
## 163193 163238 163329 163362 163368 163380 163382 163428 163450 163454
## 2 3 2 3 3 1 2 2 2 3
## 163463 163471 163506 163509 163510 163516 163517 163524 163525 163574
## 3 2 2 3 2 2 3 3 3 3
## 163641 163663 163670 163759 163778 163848 163855 163897 163912 163947
## 2 2 3 3 2 2 3 2 1 3
## 163995 164043 164062 164063 164091 164099 164115 164126 164127 164148
## 3 3 3 3 3 3 2 3 3 3
## 164164 164172 164182 164211 164255 164319 164343 164357 164358 164361
## 2 2 3 2 3 3 3 3 3 3
## 164412 164448 164464 164467 164472 164536 164564 164598 164612 164628
## 1 3 2 3 2 2 3 3 2 3
## 164795 164797 164798 164819 164820 164826 164837 164851 164861 164863
## 3 2 2 3 2 2 3 3 3 3
## 164935 164971 164987 165003 165010 165055 165155 165158 165223 165231
## 3 2 3 3 2 2 2 3 3 3
## 165260 165313 165322 165339 165346 165355 165373 165374 165417 165443
## 3 3 3 2 3 3 3 1 3 2
## 165449 165485 165489 165507 165529 165537 165558 165606 165648 165653
## 2 2 3 2 3 2 2 3 2 2
## 165663 165697 165704 165734 165760 165855 165863 165867 165870 165892
## 3 3 3 3 3 2 2 3 3 1
## 165909 165912 165924 165993 166005 166073 166103 166133 166147 166150
## 3 3 2 2 3 3 2 2 3 3
## 166164 166167 166172 166194 166207 166217 166223 166278 166327 166337
## 3 3 3 2 3 1 3 1 2 3
## 166366 166375 166421 166446 166451 166458 166501 166532 166578 166595
## 3 3 3 2 1 2 2 3 3 3
## 166614 166674 166676 166734 166741 166773 166778 166803 166813 166838
## 2 1 1 3 3 2 2 2 2 3
## 166859 166877 166894 166895 166897 166915 166925 166966 167003 167012
## 1 2 3 3 3 3 1 3 1 3
## 167063 167067 167107 167128 167179 167181 167192 167205 167206 167230
## 2 3 2 3 2 3 2 3 3 3
## 167239 167293 167325 167361 167376 167402 167408 167424 167452 167461
## 3 2 2 3 2 3 2 3 1 2
## 167470 167495 167498 167515 167535 167541 167570 167583 167598 167603
## 1 3 3 2 2 3 3 3 3 3
## 167642 167690 167694 167738 167781 167786 167829 167877 167885 167888
## 3 3 3 3 2 3 1 3 2 3
## 167981 168107 168127 168158 168166 168167 168181 168182 168188 168284
## 2 3 3 3 3 3 2 3 3 2
## 168324 168347 168355 168418 168459 168461 168515 168542 168543 168617
## 3 3 3 3 3 1 3 3 3 3
## 168694 168715 168717 168813 168835 168883 168900 168902 168908 168943
## 2 3 3 3 3 2 2 2 3 3
## 168966 169025 169054 169101 169164 169165 169195 169256 169258 169262
## 2 3 3 3 1 3 3 3 3 3
## 169272 169286 169296 169325 169363 169369 169394 169451 169470 169498
## 3 3 2 3 3 3 2 3 3 3
## 169521 169569 169570 169577 169581 169603 169626 169646 169674 169727
## 3 3 3 3 3 3 3 3 1 3
## 169751 169819 169821 169828 169837 169864 169865 169873 169883 169929
## 1 2 2 3 3 3 3 3 3 3
## 169963 169977 169987 170028 170042 170050 170057 170083 170201 170241
## 1 3 3 3 3 2 2 3 3 1
## 170255 170279 170295 170305 170324 170339 170342 170364 170421 170434
## 3 2 2 3 3 3 3 3 1 2
## 170439 170453 170472 170491 170564 170575 170577 170591 170708 170716
## 1 2 3 3 3 3 3 2 3 3
## 170719 170769 170776 170789 170805 170812 170840 170841 170936 170958
## 2 3 3 2 2 2 3 3 3 3
## 170980 171001 171034 171052 171085 171095 171112 171123 171138 171175
## 3 3 3 1 3 3 3 3 3 3
## 171185 171196 171219 171220 171288 171291 171305 171386 171388 171391
## 3 3 3 2 1 3 1 3 3 3
## 171394 171443 171491 171500 171506 171554 171594 171625 171632 171713
## 3 3 3 2 3 2 3 2 3 2
## 171717 171725 171757 171784 171856 171868 171934 171982 172045 172055
## 3 3 3 2 3 2 3 2 2 2
## 172134 172155 172161 172172 172174 172233 172236 172298 172303 172336
## 3 2 3 2 3 3 3 3 2 3
## 172417 172444 172450 172492 172531 172548 172549 172560 172650 172727
## 3 3 1 3 2 3 3 3 2 3
## 172731 172785 172793 172798 172870 172877 172879 172882 172884 172889
## 2 2 3 2 2 3 3 3 3 2
## 172895 172971 172986 172988 173029 173087 173092 173125 173153 173161
## 3 2 3 3 3 3 2 3 3 3
## 173185 173202 173231 173258 173266 173306 173327 173360 173462 173479
## 3 2 2 3 1 2 3 3 2 2
## 173483 173503 173516 173526 173544 173560 173579 173597 173634 173698
## 3 3 3 2 2 3 3 3 3 1
## 173701 173874 173882 173964 173967 173991 174039 174047 174193 174252
## 2 2 3 2 3 2 3 3 2 1
## 174307 174323 174376 174381 174386 174391 174468 174482 174513 174514
## 3 3 3 3 2 3 3 3 3 2
## 174537 174544 174583 174597 174631 174650 174665 174705 174711 174713
## 3 2 3 3 2 2 3 3 3 2
## 174783 174792 174793 174839 174874 174979 175019 175020 175037 175073
## 3 3 3 3 3 2 3 3 2 2
## 175107 175114 175169 175241 175243 175248 175249 175278 175289 175312
## 3 2 2 3 2 3 3 3 2 3
## 175333 175344 175354 175362 175372 175454 175486 175505 175547 175582
## 3 3 3 2 3 3 2 3 3 3
## 175659 175715 175727 175752 175863 175879 175896 175968 176007 176011
## 3 3 3 2 2 2 2 3 3 2
## 176015 176031 176073 176093 176181 176205 176222 176228 176306 176313
## 2 2 2 2 2 3 2 3 1 2
## 176362 176374 176378 176467 176501 176510 176516 176519 176562 176572
## 1 2 3 2 2 3 3 2 2 2
## 176605 176649 176680 176682 176699 176706 176710 176711 176770 176789
## 3 3 3 2 2 2 2 2 2 2
## 176800 176814 176817 176888 176940 176941 176957 177017 177062 177130
## 1 3 2 2 3 3 1 2 3 2
## 177137 177162 177178 177189 177227 177258 177263 177286 177337 177343
## 3 1 3 2 3 3 2 3 3 2
## 177346 177354 177366 177368 177375 177409 177423 177424 177425 177448
## 1 2 3 2 1 3 3 3 3 3
## 177504 177582 177586 177587 177657 177661 177676 177679 177701 177704
## 1 2 3 3 2 2 3 1 3 3
## 177716 177718 177719 177728 177739 177745 177775 177776 177789 177890
## 2 1 2 2 3 3 1 2 3 3
## 177944 177960 178002 178041 178045 178088 178091 178111 178152 178178
## 2 2 3 2 2 2 2 2 3 3
## 178192 178197 178210 178217 178239 178271 178334 178337 178344 178444
## 3 3 1 3 2 3 2 2 2 3
## 178470 178479 178500 178539 178553 178561 178586 178596 178605 178613
## 2 3 2 3 3 2 2 3 2 3
## 178618 178716 178750 178776 178781 178804 178841 178847 178890 178918
## 3 3 2 3 1 3 3 2 1 3
## 178949 178974 179037 179063 179079 179114 179141 179143 179202 179208
## 2 2 3 2 3 3 3 2 2 3
## 179213 179263 179269 179352 179415 179499 179551 179570 179660 179663
## 3 3 1 3 2 2 2 3 2 2
## 179685 179689 179759 179772 179774 179808 179875 179920 179927 179966
## 3 2 3 3 3 3 3 3 1 3
## 179981 179993 180007 180061 180085 180139 180181 180227 180237 180278
## 3 3 3 3 2 2 1 2 3 3
## 180290 180300 180328 180330 180339 180351 180356 180399 180462 180469
## 3 2 3 2 2 1 1 3 1 3
## 180499 180522 180573 180607 180610 180658 180683 180749 180757 180791
## 3 3 3 3 3 3 3 3 2 3
## 180816 180857 180858 180868 180874 180892 180897 180918 180928 180941
## 2 3 3 3 1 3 2 3 2 2
## 180966 180990 180994 181002 181014 181053 181058 181066 181089 181113
## 3 2 3 3 3 3 3 2 3 3
## 181114 181126 181135 181139 181146 181174 181195 181211 181234 181235
## 3 3 2 3 3 3 3 3 3 3
## 181291 181294 181307 181309 181312 181330 181386 181395 181425 181429
## 3 3 2 3 3 2 3 3 3 3
## 181430 181446 181475 181519 181523 181574 181585 181675 181682 181696
## 2 1 2 3 2 3 3 3 3 3
## 181723 181739 181766 181777 181801 181812 181815 181820 181842 181851
## 3 2 1 2 3 3 3 2 1 3
## 181908 181911 181913 181915 181928 181953 181970 182027 182212 182229
## 3 3 2 3 2 1 2 3 2 3
## 182246 182268 182286 182309 182310 182311 182435 182450 182465 182501
## 1 3 3 3 2 3 3 3 3 3
## 182541 182686 182726 182730 182736 182739 182823 182845 182854 182869
## 1 2 2 2 3 2 3 3 3 3
## 182890 182929 182955 182973 183049 183053 183073 183082 183084 183091
## 2 2 3 3 1 3 3 3 2 3
## 183094 183110 183119 183138 183190 183200 183209 183233 183258 183295
## 3 3 3 3 3 3 2 1 2 3
## 183400 183452 183455 183545 183572 183580 183583 183587 183596 183648
## 3 2 1 3 3 2 2 3 2 2
## 183659 183711 183751 183764 183779 183796 183803 183848 183851 183922
## 3 2 2 3 2 3 3 1 2 3
## 183971 183977 183979 184014 184056 184067 184075 184076 184091 184151
## 3 3 2 3 2 2 3 1 3 2
## 184192 184253 184268 184286 184298 184302 184306 184345 184347 184352
## 3 2 3 3 3 3 3 1 3 2
## 184358 184412 184493 184516 184576 184577 184583 184616 184660 184681
## 1 2 3 2 3 3 3 2 2 3
## 184687 184762 184789 184800 184849 184856 184872 184905 184943 184947
## 3 3 3 3 1 2 3 3 2 3
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## 3 3 3 3 2 1 3 2 1 2
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## 3 3 3 3 2 3 3 3 3 3
## 185577 185604 185659 185718 185727 185757 185804 185819 185820 185838
## 2 3 3 2 3 2 3 3 3 1
## 185840 185926 185933 185953 186015 186039 186041 186043 186095 186116
## 2 2 3 3 3 3 3 3 3 2
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## 3 2 3 3 3 3 2 3 3 2
## 186404 186424 186425 186450 186473 186491 186528 186547 186600 186616
## 3 2 2 2 3 2 3 2 3 3
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## 3 2 3 1 3 3 3 2 3 3
## 186808 186872 186882 186927 186940 186946 186948 186951 186994 187000
## 2 3 3 2 3 3 3 2 3 1
## 187011 187013 187020 187030 187038 187090 187134 187152 187160 187222
## 3 3 3 1 2 3 3 3 2 3
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## 3 3 3 3 2 1 2 2 2 3
## 187496 187507 187509 187517 187520 187541 187543 187555 187568 187575
## 2 3 3 3 3 2 1 2 2 3
## 187576 187590 187591 187601 187636 187659 187709 187725 187734 187787
## 3 3 3 3 3 2 3 2 1 2
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## 2 3 3 2 3 2 3 3 2 3
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## 3 3 3 3 3 1 2 3 3 3
## 188599 188616 188654 188691 188725 188798 188807 188808 188830 188878
## 3 1 1 2 3 3 3 3 2 3
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## 2 3 3 1 3 2 3 3 2 2
## 189127 189129 189206 189231 189305 189342 189430 189464 189480 189554
## 3 3 3 3 3 3 3 3 3 1
## 189577 189610 189641 189645 189721 189742 189760 189768 189769 189805
## 2 3 3 2 2 1 3 3 3 3
## 189827 189852 189873 189874 189884 189895 189914 189970 189980 190024
## 3 2 3 1 2 2 3 2 1 2
## 190031 190065 190161 190163 190190 190202 190253 190277 190278 190296
## 3 2 2 2 3 3 1 3 2 3
## 190312 190344 190347 190358 190372 190402 190406 190417 190432 190639
## 2 3 3 3 2 2 2 2 2 2
## 190646 190650 190672 190677 190687 190742 190764 190769 190777 190782
## 2 3 3 2 3 2 3 2 2 3
## 190786 190804 190818 190835 190840 190874 190909 190913 190948 190949
## 2 2 3 3 1 3 3 3 3 3
## 190955 190962 191044 191098 191133 191138 191148 191194 191203 191248
## 3 1 2 1 2 2 3 3 2 2
## 191277 191305 191325 191403 191412 191417 191419 191459 191460 191491
## 3 2 1 2 3 3 3 2 2 2
## 191508 191545 191551 191559 191585 191625 191657 191737 191740 191748
## 3 3 2 3 3 3 3 2 3 3
## 191786 191933 191941 191958 191990 191992 192121 192130 192153 192162
## 3 3 3 3 2 1 3 3 2 2
## 192170 192172 192193 192203 192212 192219 192239 192244 192250 192276
## 3 1 3 2 3 2 3 3 2 3
## 192291 192325 192363 192427 192455 192485 192529 192568 192594 192604
## 3 3 3 1 3 1 3 2 2 3
## 192613 192617 192623 192675 192753 192774 192827 192841 192855 192857
## 3 3 2 2 3 3 1 3 2 3
## 192878 192887 193021 193051 193064 193099 193125 193127 193191 193221
## 3 2 2 3 1 2 3 3 2 3
## 193223 193269 193272 193288 193306 193339 193366 193424 193544 193549
## 3 3 2 2 3 2 3 3 3 2
## 193594 193627 193643 193766 193767 193816 193864 193871 193874 193927
## 2 3 3 2 3 3 3 3 3 3
## 193992 194008 194024 194046 194115 194120 194144 194169 194188 194193
## 1 2 1 3 3 2 2 2 2 2
## 194194 194198 194220 194221 194223 194266 194313 194345 194411 194419
## 2 3 3 3 3 3 3 2 3 3
## 194435 194459 194481 194498 194505 194613 194634 194676 194693 194703
## 3 1 3 2 3 2 2 3 2 3
## 194725 194738 194777 194792 194853 194864 194908 194915 194916 194920
## 3 3 2 3 3 1 3 1 3 2
## 194929 194966 195003 195022 195037 195052 195083 195087 195133 195142
## 3 3 2 2 3 2 3 2 1 3
## 195246 195271 195311 195341 195369 195459 195464 195469 195477 195495
## 3 2 3 2 2 3 3 1 2 3
## 195510 195576 195581 195591 195597 195627 195656 195668 195676 195812
## 1 3 2 3 3 3 3 1 2 2
## 195864 195876 195898 195900 195903 195934 195962 195988 196015 196116
## 3 1 2 2 2 3 2 3 2 2
## 196119 196157 196166 196170 196252 196264 196279 196304 196362 196413
## 3 3 3 3 2 3 3 3 3 3
## 196460 196482 196552 196585 196609 196611 196615 196643 196653 196659
## 2 3 3 2 2 2 3 2 3 3
## 196693 196699 196700 196702 196735 196758 196776 196809 196816 196827
## 3 2 3 3 3 2 2 3 3 3
## 196884 196893 196900 196901 196917 196955 196972 196974 197014 197023
## 1 3 3 2 3 3 1 3 2 3
## 197039 197056 197102 197107 197213 197214 197238 197269 197312 197332
## 2 1 3 3 3 3 2 3 1 3
## 197375 197471 197478 197500 197511 197583 197650 197689 197756 197784
## 3 3 3 3 2 2 3 3 3 3
## 197804 197836 197848 197933 197963 197980 198001 198087 198158 198173
## 2 2 3 3 3 2 3 3 3 3
## 198186 198239 198248 198467 198479 198486 198496 198515 198520 198521
## 3 3 3 3 3 3 2 3 3 3
## 198532 198663 198671 198709 198737 198802 198804 198820 198832 198893
## 3 3 2 3 3 3 3 3 3 3
## 198925 198946 198964 198983 198988 198998 199012 199034 199113 199124
## 3 1 2 1 3 3 3 3 3 1
## 199131 199144 199160 199174 199184 199192 199222 199244 199306 199360
## 3 2 3 3 1 2 2 2 2 3
## 199365 199410 199427 199484 199493 199512 199531 199583 199615 199617
## 3 3 3 3 3 2 3 2 2 3
## 199639 199689 199703 199708 199762 199794 199876 199889 199950 199965
## 3 2 3 3 2 3 3 3 3 2
## 200046 200068 200109 200153 200190 200195 200212 200219 200229 200276
## 1 2 3 2 2 2 3 2 3 2
## 200289 200347 200353 200354 200404 200445 200479 200516 200595 200615
## 2 3 3 3 2 3 3 3 3 3
## 200663 200713 200730 200764 200773 200783 200787 200806 200807 200847
## 3 2 3 3 3 3 3 2 2 3
## 200863 200900 200942 200954 200960 200977 200992 201003 201010 201055
## 2 3 3 2 2 3 2 3 2 3
## 201095 201124 201143 201158 201175 201222 201231 201254 201257 201280
## 3 2 1 3 3 2 3 2 2 3
## 201313 201326 201361 201385 201393 201397 201407 201445 201457 201501
## 2 3 2 1 3 3 3 3 3 3
## 201533 201543 201665 201674 201705 201711 201739 201761 201762 201800
## 2 1 3 3 2 2 2 2 3 3
## 201816 201840 201907 201909 201914 202006 202099 202105 202117 202127
## 3 2 3 3 2 1 3 3 2 2
## 202130 202163 202202 202215 202267 202286 202378 202379 202491 202572
## 3 2 3 3 3 1 2 3 2 3
## 202604 202616 202643 202644 202665 202671 202673 202699 202700 202721
## 3 3 3 3 2 2 3 2 3 2
## 202723 202737 202788 202805 202825 202860 202957 202983 202990 203010
## 3 1 3 2 3 2 3 2 2 3
## 203015 203057 203074 203082 203118 203155 203165 203174 203186 203196
## 2 3 2 3 3 1 2 3 3 2
## 203232 203257 203284 203313 203317 203381 203443 203445 203455 203531
## 3 3 3 2 2 3 2 3 3 3
## 203571 203594 203610 203631 203735 203755 203777 203784 203809 203818
## 3 3 3 3 2 3 3 3 3 3
## 203843 203892 203945 203974 204055 204056 204073 204074 204122 204139
## 3 3 3 3 2 3 3 3 3 3
## 204181 204229 204280 204300 204311 204393 204406 204466 204482 204494
## 3 3 3 3 3 3 3 3 3 2
## 204522 204523 204532 204536 204562 204608 204630 204631 204638 204642
## 3 3 2 3 2 2 3 3 2 3
## 204647 204651 204676 204736 204743 204782 204813 204845 204869 204891
## 2 3 3 2 1 3 2 2 3 3
## 204918 205005 205051 205059 205063 205094 205114 205121 205129 205137
## 3 2 2 3 3 3 2 3 3 3
## 205170 205234 205296 205345 205352 205367 205386 205417 205430 205443
## 3 3 3 3 2 3 2 3 2 2
## 205569 205609 205653 205672 205674 205684 205746 205827 205892 205901
## 3 3 2 2 3 2 3 2 3 3
## 205916 205937 205999 206040 206046 206051 206110 206126 206142 206207
## 3 3 3 3 2 3 3 1 3 2
## 206228 206235 206344 206349 206370 206392 206430 206466 206516 206589
## 3 3 3 2 3 3 3 3 2 3
## 206601 206646 206673 206677 206702 206764 206805 206817 206838 206842
## 2 3 2 3 2 3 3 2 2 1
## 206872 206918 206961 206997 207007 207053 207063 207065 207070 207102
## 2 3 2 2 1 2 2 2 2 3
## 207136 207157 207207 207215 207284 207286 207293 207305 207319 207351
## 3 3 2 3 3 2 3 2 3 3
## 207409 207426 207440 207457 207535 207628 207637 207762 207789 207794
## 3 3 3 2 3 2 3 3 3 3
## 207815 207886 207970 207975 208017 208059 208071 208072 208120 208122
## 3 3 2 2 3 2 3 3 3 1
## 208130 208132 208144 208298 208332 208352 208364 208376 208392 208399
## 3 2 2 3 2 2 3 3 2 3
## 208408 208580 208592 208603 208641 208697 208701 208716 208729 208747
## 2 2 3 2 3 3 3 2 3 2
## 208748 208760 208783 208843 208873 208904 208959 209000 209036 209059
## 3 1 3 3 3 3 3 2 3 3
## 209065 209140 209174 209185 209209 209285 209324 209385 209390 209437
## 2 2 3 2 3 3 3 3 3 3
## 209455 209558 209645 209673 209674 209686 209752 209773 209776 209777
## 3 3 1 3 3 3 3 2 3 2
## 209781 209796 209821 209837 209843 209860 209905 209923 209924 209971
## 2 3 3 2 3 3 3 3 3 3
## 209979 209982 209994 210032 210060 210074 210123 210129 210226 210292
## 3 2 3 2 2 2 3 2 3 2
## 210386 210395 210404 210409 210458 210482 210530 210543 210551 210552
## 3 3 3 3 2 3 3 3 2 3
## 210771 210780 210905 210925 210940 210978 210980 211002 211043 211069
## 3 3 1 3 3 3 3 3 2 2
## 211087 211099 211152 211200 211204 211237 211259 211270 211294 211299
## 3 2 3 2 3 3 2 2 3 3
## 211318 211357 211361 211414 211452 211480 211506 211526 211540 211588
## 2 3 1 3 3 3 2 3 3 3
## 211593 211594 211600 211705 211715 211752 211764 211788 211893 211918
## 2 1 1 3 2 3 3 3 3 2
## 211925 211960 211978 211984 212007 212010 212017 212074 212094 212121
## 1 2 3 3 3 3 2 3 2 3
## 212139 212161 212167 212169 212185 212189 212251 212291 212302 212318
## 3 3 2 3 2 3 3 3 3 3
## 212347 212349 212390 212397 212417 212439 212452 212467 212490 212511
## 3 3 2 3 1 3 3 3 1 3
## 212517 212559 212584 212586 212591 212619 212634 212688 212691 212696
## 1 3 2 3 3 2 3 3 3 3
## 212721 212756 212757 212759 212878 212888 212905 212906 212918 212919
## 3 3 3 1 3 3 2 3 3 3
## 212990 213039 213046 213048 213061 213130 213153 213177 213266 213286
## 3 2 3 3 3 2 3 2 3 2
## 213307 213393 213402 213422 213493 213508 213540 213584 213595 213640
## 2 3 3 3 3 3 3 3 3 2
## 213656 213708 213733 213738 213753 213772 213782 213784 213805 213861
## 2 1 3 2 3 2 3 3 2 3
## 213883 213912 213913 213959 213972 213990 214028 214036 214108 214153
## 3 2 3 3 1 3 2 1 3 2
## 214166 214175 214178 214216 214220 214245 214248 214283 214298 214304
## 3 3 3 3 3 3 3 2 3 3
## 214380 214415 214430 214441 214453 214504 214530 214544 214587 214596
## 3 2 2 3 3 3 2 3 3 3
## 214603 214620 214633 214643 214646 214676 214691 214694 214720 214739
## 3 3 1 3 3 3 3 3 3 3
## 214780 215051 215069 215076 215105 215163 215177 215190 215211 215223
## 1 3 3 2 2 1 3 3 2 3
## 215224 215234 215258 215304 215326 215332 215340 215350 215352 215367
## 3 3 3 3 3 3 3 3 3 3
## 215383 215402 215414 215442 215446 215464 215486 215506 215698 215714
## 2 3 2 3 3 3 3 3 3 2
## 215725 215750 215767 215815 215867 215969 215974 215982 216053 216057
## 3 3 3 2 3 3 3 3 3 3
## 216068 216086 216099 216115 216117 216131 216205 216211 216272 216291
## 2 3 3 3 2 3 3 3 3 2
## 216321 216347 216375 216390 216400 216404 216410 216415 216482 216494
## 3 3 3 3 2 3 3 2 2 3
## 216518 216678 216696 216702 216710 216719 216774 216779 216783 216878
## 2 3 3 3 3 3 3 3 2 3
## 216983 217032 217078 217100 217123 217193 217245 217275 217327 217330
## 3 3 3 3 2 2 2 2 2 1
## 217336 217341 217375 217439 217507 217628 217640 217705 217728 217732
## 3 2 2 3 2 2 2 2 1 2
## 217750 217752 217759 217810 217835 217850 217910 217944 217945 218003
## 3 3 3 3 3 2 2 3 3 3
## 218016 218057 218060 218065 218066 218073 218103 218128 218130 218154
## 3 3 3 3 3 3 1 2 3 1
## 218192 218209 218210 218220 218252 218290 218294 218319 218350 218355
## 3 3 3 3 3 3 3 3 3 2
## 218373 218384 218389 218448 218472 218495 218519 218551 218553 218573
## 3 3 3 3 3 2 3 2 3 2
## 218586 218653 218673 218715 218758 218759 218783 218789 218847 218872
## 3 3 3 3 2 2 3 3 3 2
## 218883 218887 218890 218905 218926 218950 218991 219001 219010 219019
## 3 3 3 2 2 2 3 3 3 2
## 219062 219075 219087 219135 219182 219208 219223 219231 219241 219250
## 3 3 2 2 3 1 2 3 3 3
## 219312 219340 219344 219345 219382 219393 219453 219517 219568 219617
## 3 3 3 3 3 3 3 2 2 3
## 219652 219662 219687 219706 219763 219788 219797 219824 219858 219882
## 2 3 2 3 3 2 3 2 3 2
## 219905 219933 219948 219950 219956 220035 220064 220076 220107 220199
## 3 1 2 3 3 3 3 2 2 3
## 220209 220232 220239 220266 220267 220285 220345 220369 220377 220408
## 3 2 1 3 3 3 2 3 2 2
## 220437 220454 220481 220484 220490 220511 220520 220557 220622 220675
## 3 2 2 3 2 3 3 3 3 3
## 220705 220723 220745 220757 220804 220833 220881 220884 220891 220967
## 1 2 3 2 2 3 3 3 3 3
## 220995 221021 221022 221079 221085 221113 221124 221194 221250 221253
## 3 1 2 3 2 3 3 3 3 3
## 221310 221316 221318 221328 221355 221391 221400 221423 221457 221460
## 3 3 3 2 2 3 2 3 3 3
## 221473 221484 221489 221505 221521 221531 221537 221605 221645 221664
## 2 3 3 3 2 2 3 3 3 2
## 221677 221690 221692 221694 221700 221733 221737 221762 221764 221776
## 2 2 3 3 3 3 3 3 3 2
## 221796 221804 221814 221863 221886 221917 221923 221943 221976 221979
## 3 3 2 3 3 3 1 3 3 2
## 222041 222074 222079 222100 222102 222136 222221 222233 222239 222257
## 2 3 2 3 2 3 3 2 3 2
## 222265 222267 222285 222299 222313 222324 222329 222334 222419 222468
## 3 2 3 3 3 2 3 3 1 1
## 222495 222524 222536 222546 222588 222614 222654 222681 222697 222722
## 2 3 3 2 3 2 2 3 3 3
## 222763 222782 222803 222909 222925 222955 223009 223014 223060 223090
## 2 1 2 2 2 3 3 2 3 3
## 223102 223103 223224 223233 223301 223303 223310 223327 223340 223367
## 3 2 2 2 2 3 3 3 2 3
## 223385 223421 223502 223540 223544 223555 223583 223655 223674 223684
## 3 2 2 2 1 2 1 2 2 3
## 223693 223694 223697 223725 223807 223840 223934 223944 223955 223969
## 3 2 3 2 3 3 2 3 3 1
## 223984 224004 224024 224038 224082 224121 224122 224140 224178 224203
## 3 2 3 3 3 2 3 3 3 3
## 224227 224281 224285 224306 224346 224370 224395 224432 224437 224476
## 3 3 3 3 3 2 2 3 2 1
## 224498 224524 224603 224647 224702 224704 224748 224764 224797 224830
## 3 3 3 2 3 3 2 2 3 3
## 224832 224862 224888 224889 224909 224920 224971 225014 225056 225086
## 2 2 3 3 3 2 2 3 1 2
## 225103 225123 225141 225198 225222 225224 225225 225288 225307 225308
## 2 2 2 1 3 3 3 3 2 3
## 225342 225363 225390 225391 225400 225408 225508 225516 225574 225598
## 2 2 3 2 3 3 3 2 2 3
## 225612 225641 225644 225645 225655 225678 225686 225821 225849 225861
## 2 2 3 3 2 2 2 3 3 1
## 225869 225902 225928 225962 225982 225990 226024 226031 226131 226142
## 1 3 3 3 2 2 3 3 3 3
## 226155 226203 226234 226251 226258 226263 226315 226350 226352 226353
## 1 2 1 1 2 3 3 2 3 3
## 226363 226416 226418 226464 226465 226487 226488 226545 226585 226591
## 2 2 3 3 3 3 3 3 3 3
## 226621 226627 226641 226653 226746 226775 226871 226895 226933 226948
## 3 2 3 3 3 3 3 3 3 3
## 226955 226958 226963 226997 227009 227056 227207 227208 227236 227279
## 3 3 1 3 3 3 3 2 3 3
## 227292 227293 227349 227356 227388 227389 227418 227443 227452 227484
## 3 3 3 3 3 1 3 3 3 3
## 227554 227598 227609 227639 227709 227714 227732 227806 227909 227922
## 3 3 2 3 3 3 3 3 2 3
## 228006 228156 228163 228276 228288 228301 228315 228379 228439 228450
## 3 3 2 2 2 2 3 3 2 2
## 228590 228626 228665 228667 228790 228804 228824 228844 228941 228981
## 3 3 3 3 3 1 3 2 3 3
## 228996 229007 229114 229168 229187 229268 229284 229297 229299 229317
## 3 2 2 3 2 3 3 3 2 3
## 229377 229382 229438 229471 229474 229507 229515 229521 229534 229535
## 1 3 2 2 3 2 2 3 2 3
## 229536 229556 229559 229576 229619 229628 229652 229660 229669 229686
## 3 3 2 2 2 3 3 3 2 3
## 229730 229731 229764 229851 229861 229943 230016 230040 230161 230169
## 3 3 2 1 3 2 3 3 3 2
## 230178 230205 230211 230224 230242 230247 230260 230270 230271 230289
## 3 3 2 2 3 3 1 3 1 3
## 230298 230366 230404 230466 230498 230512 230546 230697 230699 230719
## 3 3 2 2 3 2 3 2 1 3
## 230802 230805 230909 230986 230998 231000 231058 231073 231080 231119
## 2 1 3 3 1 3 2 2 3 1
## 231126 231182 231201 231218 231223 231250 231264 231274 231365 231379
## 3 3 3 2 3 3 3 2 3 3
## 231414 231456 231457 231468 231470 231481 231513 231519 231556 231577
## 3 3 3 3 3 2 3 3 2 3
## 231587 231590 231601 231722 231731 231732 231776 231799 231800 231827
## 3 3 3 3 3 3 2 3 3 2
## 231881 231908 231927 231954 232000 232027 232046 232100 232105 232154
## 3 2 2 3 3 3 3 3 3 2
## 232223 232263 232288 232315 232331 232334 232345 232362 232400 232403
## 3 3 1 2 1 2 2 2 3 3
## 232427 232448 232454 232465 232470 232494 232499 232520 232537 232587
## 2 3 3 2 3 3 2 2 3 3
## 232598 232633 232640 232646 232651 232690 232734 232746 232763 232767
## 3 3 3 3 3 3 2 2 1 2
## 232814 232826 232854 232860 232872 232884 232978 232981 233007 233068
## 3 3 3 2 1 3 2 2 2 3
## 233082 233099 233102 233120 233133 233135 233195 233215 233225 233236
## 2 2 3 2 2 2 3 2 3 3
## 233252 233269 233303 233345 233355 233385 233422 233439 233466 233501
## 3 1 2 2 3 3 2 3 3 3
## 233510 233521 233535 233547 233564 233595 233640 233673 233705 233709
## 2 3 3 2 3 3 1 1 2 1
## 233721 233812 233821 233855 233865 233939 233976 233983 233984 233993
## 2 3 3 2 2 3 3 3 2 3
## 234045 234061 234072 234095 234105 234112 234115 234187 234218 234242
## 2 3 3 3 2 3 3 3 3 2
## 234259 234273 234313 234330 234331 234352 234354 234380 234391 234396
## 2 3 2 2 3 3 3 3 2 3
## 234432 234445 234450 234481 234532 234566 234603 234610 234626 234697
## 3 2 2 3 2 3 2 2 3 3
## 234698 234704 234763 234785 234815 234816 234829 234856 234913 234916
## 3 2 2 3 1 2 3 2 3 3
## 234941 235016 235045 235073 235086 235099 235144 235154 235196 235219
## 2 3 2 1 1 2 3 3 3 3
## 235286 235306 235311 235327 235338 235349 235368 235378 235382 235393
## 2 2 3 3 2 3 3 3 3 2
## 235412 235416 235435 235453 235462 235484 235491 235518 235531 235576
## 1 3 2 3 3 2 3 2 2 3
## 235602 235619 235626 235651 235736 235790 235847 235874 235881 235892
## 3 3 3 2 3 3 3 3 3 3
## 235944 235967 235980 236003 236028 236038 236050 236058 236069 236112
## 3 1 3 2 3 3 2 2 2 3
## 236114 236152 236195 236227 236285 236299 236305 236350 236368 236385
## 2 3 1 3 3 2 3 3 3 3
## 236393 236421 236424 236435 236472 236481 236524 236561 236567 236605
## 3 2 2 3 2 3 3 2 3 3
## 236660 236686 236717 236724 236746 236750 236752 236760 236766 236773
## 3 2 3 1 3 2 3 3 3 3
## 236845 236854 236868 236893 236931 236963 237022 237066 237069 237081
## 2 3 2 3 3 2 2 2 3 2
## 237084 237090 237107 237131 237139 237155 237167 237182 237190 237232
## 2 3 3 1 3 2 3 3 3 2
## 237300 237331 237334 237348 237461 237489 237523 237544 237551 237556
## 3 2 3 2 3 1 3 2 3 2
## 237568 237610 237613 237636 237642 237716 237738 237757 237761 237781
## 1 3 3 3 3 3 3 2 3 3
## 237797 237808 237860 237863 237891 237960 238006 238020 238046 238061
## 3 3 2 3 2 2 3 3 2 2
## 238063 238122 238129 238132 238146 238151 238170 238207 238256 238266
## 2 1 3 3 2 3 3 3 3 3
## 238269 238271 238361 238371 238375 238408 238460 238477 238486 238502
## 2 2 3 3 3 3 2 3 3 3
## 238577 238608 238654 238725 238742 238759 238773 238774 238816 238845
## 3 2 3 2 2 2 3 3 2 1
## 238918 238932 238972 239116 239163 239181 239186 239198 239354 239364
## 3 3 1 2 3 3 3 2 2 3
## 239410 239433 239449 239474 239482 239512 239566 239587 239614 239637
## 3 3 3 3 2 3 2 1 1 2
## 239663 239736 239737 239753 239767 239780 239807 239814 239819 239824
## 2 3 3 2 2 3 3 3 3 3
## 239838 239872 239898 239935 239942 239954 239996 240004 240011 240020
## 2 3 3 2 3 3 3 2 3 3
## 240036 240057 240094 240105 240109 240149 240153 240157 240282 240331
## 3 1 3 3 3 3 1 3 3 3
## 240397 240399 240400 240418 240424 240437 240440 240452 240513 240531
## 3 2 2 3 3 3 3 3 1 2
## 240596 240599 240618 240619 240680 240682 240683 240732 240733 240758
## 3 3 3 1 2 2 3 1 3 3
## 240772 240797 240849 240867 240882 240945 240949 240953 240992 241066
## 2 3 2 3 3 3 2 2 3 3
## 241097 241101 241102 241136 241140 241145 241177 241193 241210 241219
## 3 3 3 3 3 1 2 2 1 3
## 241228 241250 241290 241357 241388 241397 241401 241402 241469 241487
## 2 2 3 3 3 2 3 2 2 3
## 241491 241545 241560 241578 241615 241724 241800 241871 241944 241960
## 3 2 3 2 2 3 2 3 3 3
## 242032 242067 242162 242200 242207 242234 242274 242295 242319 242356
## 3 2 3 2 2 3 1 2 3 2
## 242357 242363 242372 242397 242453 242462 242483 242486 242497 242505
## 3 3 2 3 3 3 3 3 1 3
## 242516 242561 242660 242667 242677 242701 242723 242776 242786 242839
## 3 3 3 3 3 3 3 2 3 2
## 242875 242878 242887 242906 242961 242966 242968 243021 243024 243051
## 2 2 3 3 3 2 2 3 3 3
## 243104 243126 243162 243193 243197 243200 243243 243274 243340 243457
## 2 3 2 1 3 3 3 3 3 3
## 243474 243504 243514 243529 243536 243540 243546 243551 243624 243643
## 3 2 3 3 2 2 3 3 3 3
## 243723 243747 243790 243850 243885 243886 243910 243917 243937 243965
## 2 3 3 3 2 3 3 3 2 3
## 244000 244069 244073 244114 244121 244150 244158 244248 244297 244306
## 2 3 3 3 2 3 3 3 3 3
## 244360 244373 244379 244417 244498 244504 244565 244573 244584 244594
## 2 3 2 2 2 3 3 2 2 3
## 244616 244644 244655 244674 244683 244719 244740 244769 244811 244816
## 3 2 3 3 2 2 3 2 2 3
## 244871 244878 244891 244921 244941 244988 245004 245022 245025 245062
## 2 3 3 3 2 2 3 2 3 2
## 245067 245082 245096 245105 245110 245111 245192 245197 245232 245464
## 2 3 3 3 2 3 3 3 3 3
## 245477 245510 245518 245565 245603 245610 245645 245670 245683 245691
## 3 3 3 3 3 3 1 2 2 2
## 245759 245792 245795 245835 245863 245884 245990 245997 246000 246042
## 2 3 3 2 2 3 3 3 2 3
## 246051 246055 246069 246070 246082 246084 246090 246102 246107 246119
## 3 2 2 3 3 2 2 3 3 3
## 246131 246176 246221 246224 246225 246226 246252 246338 246405 246456
## 3 1 3 3 3 1 1 1 3 1
## 246521 246534 246549 246555 246574 246619 246635 246677 246699 246707
## 3 3 3 3 3 3 3 3 3 3
## 246807 246842 246906 246917 247033 247131 247171 247237 247345 247346
## 3 3 2 3 3 3 3 3 2 2
## 247368 247369 247411 247505 247562 247578 247581 247586 247605 247612
## 2 3 1 3 3 2 3 3 1 3
## 247627 247713 247721 247724 247753 247832 247923 247929 247937 247960
## 3 1 2 1 3 3 3 3 3 2
## 247962 247974 247975 248045 248064 248176 248207 248222 248246 248272
## 3 3 2 2 3 2 2 3 3 3
## 248332 248342 248350 248370 248371 248449 248459 248493 248515 248523
## 1 3 3 2 2 3 3 3 3 3
## 248553 248586 248594 248609 248610 248690 248747 248883 248932 248952
## 1 3 3 3 3 3 3 3 3 1
## 249022 249053 249064 249065 249199 249224 249229 249254 249258 249293
## 1 3 3 3 3 3 2 3 3 3
## 249297 249302 249303 249321 249326 249327 249371 249400 249402 249419
## 3 3 3 3 3 2 3 3 3 2
## 249426 249432 249442 249520 249526 249586 249587 249592 249647 249656
## 2 3 1 3 2 3 3 1 3 2
## 249678 249725 249742 249769 249792 249794 249833 249861 249864 249966
## 2 3 3 3 3 2 3 2 3 1
## 249978 249993 250002 250020 250068 250114 250165 250168 250171 250183
## 2 3 2 3 3 2 3 2 3 2
## 250190 250196 250206 250252 250254 250286 250340 250444 250460 250476
## 2 2 3 3 1 3 3 2 3 3
## 250487 250517 250573 250586 250627 250629 250637 250665 250775 250789
## 3 3 3 2 3 2 2 3 3 3
## 250848 250875 250893 250905 250914 250948 250953 251012 251047 251090
## 3 3 3 2 2 2 3 3 3 2
## 251147 251179 251203 251220 251346 251368 251385 251403 251410 251439
## 3 3 2 3 2 3 2 2 2 3
## 251446 251459 251476 251494 251549 251553 251624 251635 251638 251648
## 2 3 3 3 2 3 2 2 3 3
## 251657 251665 251675 251716 251736 251773 251777 251813 251832 251928
## 3 3 2 2 3 3 1 2 1 2
## 251960 251974 251979 252002 252061 252078 252080 252089 252149 252183
## 3 2 2 3 2 3 2 2 3 3
## 252193 252211 252212 252249 252268 252289 252371 252420 252481 252529
## 3 3 3 2 2 3 2 2 3 3
## 252540 252546 252553 252592 252631 252644 252649 252716 252772 252782
## 2 2 3 2 3 2 3 2 3 2
## 252802 252803 252806 252846 252850 252859 252897 252908 252930 252946
## 2 3 3 3 3 3 3 2 3 3
## 253032 253057 253072 253098 253149 253184 253187 253195 253201 253204
## 3 2 3 3 3 3 3 2 2 2
## 253209 253231 253251 253338 253360 253384 253391 253447 253450 253496
## 3 2 2 2 1 3 3 3 3 2
## 253504 253551 253575 253613 253617 253624 253630 253637 253653 253685
## 2 3 2 2 3 3 3 3 3 2
## 253692 253693 253709 253726 253798 253856 253883 253907 253935 253957
## 2 2 3 2 2 2 2 2 3 2
## 253961 254018 254049 254121 254124 254232 254252 254310 254326 254327
## 3 2 2 3 3 3 3 2 3 3
## 254430 254460 254508 254517 254554 254592 254638 254653 254704 254730
## 3 3 2 2 3 3 2 2 3 2
## 254757 254803 254815 254847 254850 254855 254864 254918 254952 255001
## 3 3 3 3 2 1 3 3 3 1
## 255053 255054 255070 255116 255132 255137 255138 255168 255194 255225
## 2 3 3 1 3 3 2 3 2 3
## 255254 255298 255300 255316 255338 255418 255442 255464 255512 255555
## 3 3 1 3 3 3 3 3 2 3
## 255603 255608 255648 255688 255694 255696 255749 255759 255767 255778
## 3 2 2 3 2 3 3 3 3 3
## 255830 255837 255887 255892 255897 255910 255936 255967 256061 256100
## 3 3 3 3 2 2 2 2 3 3
## 256123 256143 256158 256178 256190 256197 256212 256235 256258 256263
## 3 3 2 3 1 2 3 2 1 3
## 256268 256317 256321 256346 256350 256368 256400 256413 256432 256439
## 2 2 3 3 3 3 3 2 1 3
## 256454 256473 256502 256522 256540 256542 256549 256558 256565 256605
## 3 3 1 3 3 3 3 3 3 3
## 256626 256659 256668 256669 256710 256783 256884 256905 256966 256973
## 2 1 3 3 3 2 3 3 2 2
## 257008 257027 257110 257114 257151 257172 257207 257280 257284 257285
## 3 3 2 3 3 2 3 3 3 3
## 257347 257392 257412 257416 257451 257465 257532 257541 257542 257581
## 1 2 3 3 2 3 3 2 2 3
## 257626 257647 257657 257675 257690 257695 257715 257751 257800 257839
## 2 3 3 3 3 3 3 3 3 2
## 257868 257883 257905 257913 257952 257977 257985 258007 258101 258116
## 3 3 3 3 3 2 2 3 3 2
## 258117 258127 258184 258191 258215 258242 258265 258270 258361 258393
## 3 3 3 2 2 3 3 1 3 2
## 258428 258464 258472 258489 258515 258516 258548 258575 258587 258591
## 2 3 3 2 2 2 3 2 3 2
## 258604 258613 258660 258662 258668 258678 258687 258698 258717 258768
## 2 2 3 3 1 3 2 3 1 3
## 258776 258782 258845 258865 258873 258885 258898 258913 258971 258979
## 3 3 1 3 3 3 2 3 2 3
## 258992 259024 259074 259100 259112 259135 259150 259204 259223 259250
## 3 3 3 3 3 3 3 1 3 3
## 259271 259311 259338 259351 259445 259454 259491 259573 259582 259590
## 3 2 3 3 2 3 3 3 2 2
## 259672 259711 259730 259759 259781 259791 259804 259907 259908 259972
## 1 3 3 3 3 3 2 3 2 3
## 259993 260038 260052 260067 260086 260093 260115 260125 260210 260212
## 2 2 2 3 2 3 3 3 3 3
## 260228 260236 260245 260260 260298 260343 260403 260413 260459 260480
## 2 3 3 3 3 2 1 2 3 3
## 260510 260514 260527 260538 260644 260694 260706 260736 260794 260807
## 3 2 3 3 2 3 3 3 2 3
## 260854 260861 260863 260890 260938 260953 260985 260999 261051 261060
## 3 3 3 3 3 2 2 2 3 3
## 261092 261097 261102 261135 261141 261148 261156 261177 261190 261202
## 2 2 2 2 2 3 3 3 2 3
## 261208 261216 261220 261312 261325 261329 261390 261417 261453 261479
## 1 2 3 3 2 3 3 2 3 3
## 261480 261530 261548 261554 261567 261617 261662 261663 261667 261697
## 3 2 1 3 2 3 3 3 2 2
## 261731 261732 261760 261790 261798 261825 261829 261854 261909 261917
## 2 3 3 2 2 3 3 3 2 3
## 261945 262008 262010 262059 262077 262118 262122 262123 262135 262146
## 2 2 3 3 1 3 3 3 2 2
## 262175 262208 262213 262227 262245 262283 262324 262331 262349 262361
## 3 2 1 1 3 3 3 2 3 3
## 262420 262437 262446 262520 262581 262589 262617 262655 262739 262770
## 2 3 3 3 2 2 3 2 3 3
## 262781 262804 262825 262833 262834 262883 262887 262907 262920 262930
## 3 3 3 3 3 2 3 2 2 3
## 263017 263024 263027 263031 263040 263074 263075 263081 263096 263159
## 2 2 3 3 3 3 3 2 2 1
## 263176 263207 263279 263284 263300 263303 263304 263306 263317 263323
## 3 1 3 3 1 3 3 3 3 2
## 263332 263364 263366 263377 263402 263445 263458 263491 263560 263614
## 3 2 3 3 2 3 3 3 2 3
## 263653 263654 263656 263663 263732 263810 263815 263864 263882 263920
## 3 3 3 2 3 3 3 3 3 1
## 263957 263966 263992 263995 264042 264078 264110 264115 264136 264146
## 3 3 3 3 2 3 3 2 3 2
## 264160 264190 264211 264228 264258 264277 264289 264303 264327 264338
## 3 3 3 2 3 3 2 3 2 2
## 264341 264353 264355 264383 264447 264457 264460 264520 264546 264587
## 2 3 2 3 3 3 3 3 3 2
## 264592 264618 264630 264650 264663 264689 264767 264777 264786 264795
## 3 3 2 3 3 2 3 2 3 2
## 264808 264838 264874 264904 264914 264923 264953 264954 264960 264970
## 3 2 2 3 3 2 2 3 3 3
## 265044 265061 265096 265100 265115 265159 265163 265180 265250 265280
## 2 2 2 3 3 2 3 2 3 3
## 265295 265330 265335 265347 265381 265388 265403 265420 265446 265451
## 1 2 2 3 2 2 3 3 3 3
## 265464 265466 265532 265594 265650 265660 265663 265686 265707 265711
## 3 3 2 3 2 3 3 1 2 3
## 265716 265719 265746 265758 265815 265834 265871 265885 265891 265893
## 3 1 3 2 2 3 3 1 3 2
## 265911 265953 265964 265971 265983 265991 266150 266154 266176 266182
## 1 2 3 2 3 3 3 3 2 3
## 266215 266256 266293 266318 266367 266386 266392 266448 266454 266488
## 3 3 3 3 3 3 1 2 2 1
## 266522 266523 266550 266556 266591 266642 266662 266694 266697 266712
## 3 2 3 3 3 2 1 1 3 3
## 266764 266787 266817 266850 266856 266868 266900 266946 266985 266993
## 3 1 3 3 2 3 3 2 3 2
## 267066 267081 267162 267195 267238 267245 267250 267266 267295 267342
## 2 2 1 3 3 1 3 3 3 3
## 267385 267394 267399 267407 267437 267438 267458 267462 267467 267496
## 3 3 3 3 3 3 3 3 3 3
## 267556 267603 267608 267622 267648 267672 267684 267692 267708 267725
## 3 2 3 3 3 3 3 3 2 2
## 267772 267795 267819 267823 267858 267880 267971 268026 268029 268032
## 1 1 2 3 3 2 2 2 3 3
## 268041 268050 268053 268057 268063 268097 268098 268172 268190 268226
## 3 2 3 2 2 2 3 3 3 3
## 268238 268245 268256 268262 268269 268287 268385 268391 268411 268453
## 3 2 3 2 2 1 3 3 3 3
## 268469 268496 268513 268521 268529 268530 268542 268569 268626 268646
## 3 3 1 2 3 2 3 3 3 2
## 268677 268695 268723 268760 268769 268770 268789 268827 268829 268854
## 3 3 3 3 3 2 2 2 2 3
## 268870 268900 268908 268915 268932 268965 268976 268984 269005 269035
## 3 2 1 2 3 2 3 3 3 2
## 269040 269117 269135 269151 269160 269167 269173 269185 269188 269230
## 3 3 3 3 3 3 2 1 3 1
## 269249 269263 269305 269314 269318 269357 269366 269395 269450 269535
## 3 2 3 3 2 3 3 2 2 2
## 269576 269587 269591 269632 269646 269671 269772 269862 269889 269916
## 3 2 3 3 3 3 3 3 3 3
## 269921 269938 269955 269981 269983 269988 270027 270033 270149 270217
## 3 2 3 2 2 2 3 2 1 2
## 270274 270275 270291 270303 270349 270353 270386 270422 270453 270493
## 2 3 3 3 1 2 3 3 3 1
## 270567 270592 270604 270613 270629 270636 270703 270714 270719 270795
## 2 3 3 2 3 3 1 3 3 3
## 270822 270842 270881 270912 270970 270972 271002 271053 271063 271066
## 3 3 1 3 1 3 1 2 2 3
## 271089 271099 271185 271238 271240 271250 271255 271286 271310 271320
## 3 2 3 2 3 1 3 2 3 2
## 271331 271356 271367 271428 271454 271493 271505 271545 271592 271626
## 3 2 2 2 3 3 2 2 2 3
## 271633 271666 271683 271701 271714 271737 271761 271771 271807 271817
## 3 2 3 2 3 3 3 2 2 3
## 271819 271827 271903 271937 271954 271970 271997 272057 272081 272098
## 2 2 2 3 3 2 2 1 3 2
## 272102 272118 272143 272169 272251 272293 272317 272340 272363 272374
## 2 3 3 3 3 3 3 2 2 3
## 272394 272399 272455 272479 272494 272536 272558 272562 272627 272637
## 3 1 1 3 2 3 3 1 3 3
## 272640 272665 272671 272718 272755 272775 272821 272843 272916 272926
## 3 1 3 3 2 2 2 3 3 2
## 272940 272947 272961 272994 273037 273043 273048 273060 273078 273085
## 3 2 2 3 3 2 2 2 3 2
## 273091 273135 273161 273163 273184 273235 273237 273248 273285 273308
## 1 3 3 3 2 3 3 3 3 3
## 273331 273332 273335 273370 273453 273454 273566 273574 273602 273627
## 1 3 3 2 2 2 3 3 3 2
## 273653 273663 273678 273690 273727 273737 273768 273772 273841 273864
## 3 3 2 3 2 3 3 2 3 3
## 273894 273896 273897 273932 273951 273979 274086 274189 274190 274263
## 2 3 3 3 2 3 2 2 2 3
## 274291 274293 274300 274310 274340 274350 274358 274389 274411 274416
## 3 3 3 3 3 3 2 3 3 3
## 274422 274426 274461 274465 274498 274537 274550 274559 274615 274680
## 3 3 3 1 3 2 2 3 2 1
## 274707 274719 274733 274775 274783 274822 274835 274876 274939 274951
## 3 3 1 3 3 3 3 1 1 3
## 275007 275052 275116 275158 275167 275243 275314 275372 275377 275386
## 3 3 3 3 3 3 2 3 3 2
## 275459 275469 275475 275485 275510 275535 275562 275575 275578 275596
## 3 2 2 2 3 3 2 2 3 3
## 275619 275654 275684 275695 275712 275736 275757 275788 275796 275831
## 3 2 2 3 2 2 3 3 3 3
## 275843 275856 275954 275965 275966 276021 276085 276163 276180 276230
## 3 3 3 3 2 3 1 3 3 3
## 276301 276318 276343 276352 276400 276465 276489 276538 276549 276585
## 1 3 3 1 2 2 3 3 2 2
## 276635 276645 276664 276697 276698 276709 276710 276724 276824 276834
## 3 3 2 3 2 3 2 3 2 3
## 276876 276879 276903 276948 276977 277010 277045 277077 277083 277097
## 3 3 3 3 2 2 3 2 2 3
## 277116 277118 277119 277157 277189 277212 277221 277233 277265 277268
## 2 3 2 3 3 3 3 3 3 2
## 277364 277388 277415 277425 277489 277502 277562 277573 277596 277627
## 3 2 3 3 3 2 2 3 3 2
## 277648 277649 277727 277736 277790 277795 277809 277819 277846 277882
## 3 2 2 3 3 3 2 3 1 2
## 277897 277959 277988 278040 278058 278073 278078 278083 278110 278128
## 3 2 1 2 3 3 3 2 3 3
## 278148 278150 278188 278190 278204 278222 278352 278402 278432 278490
## 3 3 2 2 3 3 3 2 3 2
## 278494 278500 278521 278546 278610 278626 278659 278671 278677 278685
## 3 3 3 3 3 2 3 2 2 3
## 278713 278733 278743 278753 278755 278794 278829 278886 278897 278920
## 3 2 2 2 3 2 3 3 2 1
## 278944 278985 279039 279052 279093 279125 279128 279161 279222 279269
## 3 3 3 1 2 3 2 3 2 1
## 279270 279278 279326 279357 279389 279442 279457 279459 279500 279552
## 3 2 2 3 3 3 3 3 3 1
## 279558 279563 279575 279617 279620 279633 279685 279691 279700 279718
## 3 3 3 2 3 3 1 3 3 3
## 279782 279792 279814 279815 279837 279855 279929 279932 279960 279962
## 2 3 3 3 2 3 3 3 2 2
## 279969 280010 280029 280083 280085 280125 280135 280179 280233 280258
## 3 2 3 2 2 1 2 2 2 3
## 280260 280284 280316 280395 280404 280434 280440 280464 280470 280492
## 2 2 3 3 3 3 2 1 1 3
## 280513 280641 280650 280662 280668 280720 280728 280735 280736 280739
## 3 3 3 1 3 3 3 2 3 1
## 280750 280788 280810 280815 280855 280860 280875 280914 280997 281003
## 3 1 3 2 3 3 3 3 3 3
## 281012 281054 281141 281163 281174 281198 281315 281351 281385 281440
## 3 3 2 3 2 3 3 3 2 3
## 281483 281488 281504 281515 281543 281547 281553 281560 281574 281576
## 3 3 3 3 2 3 2 2 1 3
## 281580 281593 281616 281650 281663 281722 281749 281750 281757 281761
## 1 3 3 2 3 2 3 3 3 2
## 281766 281788 281817 281834 281835 281849 281861 281887 281893 281947
## 3 3 2 1 2 3 3 3 3 2
## 281973 281976 281983 282137 282256 282262 282275 282357 282458 282485
## 3 2 1 1 2 3 3 2 3 3
## 282489 282528 282555 282556 282568 282634 282742 282768 282795 282818
## 3 3 2 2 3 3 2 3 3 3
## 282820 282821 282858 282872 282884 282897 282911 282932 282934 282975
## 3 3 3 3 3 3 2 2 3 3
## 282993 283016 283095 283103 283220 283244 283253 283261 283266 283267
## 3 3 3 1 3 2 3 2 3 2
## 283315 283363 283366 283453 283474 283548 283689 283788 283833 283839
## 2 3 3 3 3 1 3 3 3 2
## 283842 283910 283959 283979 284004 284031 284134 284172 284209 284276
## 2 3 2 2 3 3 3 3 3 2
## 284302 284343 284346 284360 284363 284418 284420 284432 284501 284508
## 3 3 2 2 2 3 3 3 3 3
## 284512 284560 284566 284604 284615 284646 284717 284723 284730 284738
## 2 3 3 3 3 2 3 3 2 3
## 284766 284882 284886 284939 284958 284959 284994 285018 285020 285066
## 3 3 3 2 3 2 3 3 3 3
## 285071 285082 285132 285145 285157 285184 285206 285250 285338 285373
## 2 3 3 1 3 3 3 3 3 2
## 285401 285481 285489 285490 285529 285554 285608 285619 285635 285637
## 3 2 2 3 2 3 3 3 3 2
## 285650 285658 285661 285695 285768 285803 285852 285891 285899 285938
## 3 3 2 3 3 3 2 2 3 3
## 285957 285964 285970 285976 285977 285997 286005 286046 286061 286080
## 1 3 1 2 3 1 2 2 3 2
## 286124 286143 286146 286179 286206 286213 286259 286268 286317 286350
## 3 2 3 3 3 2 3 3 2 3
## 286359 286398 286439 286489 286491 286508 286552 286571 286581 286597
## 3 3 3 2 3 2 3 3 2 2
## 286608 286636 286641 286651 286657 286673 286743 286750 286754 286782
## 3 3 3 2 1 3 2 3 3 2
## 286805 286816 286830 286832 286850 286875 286900 286919 286955 286957
## 2 2 1 3 2 3 2 3 3 3
## 286965 287049 287131 287138 287155 287208 287254 287273 287312 287435
## 3 3 3 2 2 3 3 3 3 3
## 287463 287464 287494 287519 287533 287559 287577 287635 287707 287708
## 3 2 3 3 1 2 3 3 3 2
## 287711 287717 287729 287751 287761 287797 287818 287823 287834 287854
## 3 3 3 3 3 3 3 3 3 3
## 287855 287871 287887 287915 287951 287955 287982 288038 288091 288094
## 3 2 2 3 3 3 3 3 3 2
## 288105 288149 288181 288247 288263 288266 288267 288269 288355 288373
## 2 3 3 3 3 3 3 1 3 1
## 288387 288428 288429 288439 288454 288464 288487 288518 288530 288582
## 3 3 3 3 2 2 3 2 3 2
## 288592 288601 288632 288658 288668 288695 288707 288726 288728 288736
## 2 2 3 3 1 2 3 3 2 2
## 288737 288746 288806 288852 288875 288878 288938 288951 288973 289017
## 3 3 2 3 2 2 3 2 2 3
## 289061 289075 289092 289136 289155 289207 289293 289298 289308 289354
## 2 3 3 2 3 3 3 3 3 2
## 289522 289531 289563 289573 289577 289578 289583 289609 289640 289649
## 2 2 3 2 2 2 3 3 2 1
## 289715 289730 289736 289758 289771 289779 289793 289804 289830 289835
## 2 2 3 2 3 3 3 3 3 3
## 289840 289865 289899 289910 289934 289944 289970 289994 290046 290052
## 3 2 3 3 3 2 3 3 1 2
## 290094 290132 290143 290170 290222 290226 290237 290238 290243 290251
## 3 3 2 2 3 3 2 3 3 3
## 290256 290263 290288 290293 290294 290338 290347 290383 290462 290513
## 3 3 3 3 3 3 1 2 2 3
## 290521 290584 290608 290616 290662 290696 290786 290797 290831 290880
## 2 1 3 1 3 2 2 3 2 2
## 290881 290902 290967 290979 291040 291052 291104 291110 291113 291122
## 3 2 3 2 2 3 3 3 3 3
## 291133 291205 291223 291343 291404 291425 291426 291442 291458 291462
## 2 2 2 3 2 2 3 3 2 3
## 291463 291510 291544 291585 291593 291599 291625 291656 291661 291698
## 3 3 3 3 2 1 3 2 2 2
## 291715 291733 291852 291881 291917 291938 291973 291980 291990 291995
## 1 2 2 3 3 3 1 2 2 3
## 292021 292027 292053 292059 292061 292073 292094 292112 292115 292118
## 3 3 2 3 3 2 2 3 3 3
## 292122 292163 292192 292222 292330 292384 292413 292423 292424 292438
## 3 3 3 3 2 3 3 3 3 2
## 292449 292456 292474 292492 292548 292559 292561 292578 292589 292593
## 2 3 2 2 3 3 3 2 3 3
## 292602 292607 292626 292676 292816 292832 292882 292894 292922 292947
## 2 2 2 3 3 3 2 1 1 3
## 293007 293029 293044 293056 293080 293085 293115 293141 293149 293163
## 2 3 3 3 3 3 2 2 3 3
## 293259 293295 293298 293353 293398 293401 293443 293468 293479 293480
## 2 2 3 2 3 3 1 3 3 2
## 293523 293553 293605 293614 293648 293696 293700 293717 293745 293768
## 3 1 3 3 3 3 3 3 3 2
## 293771 293798 293846 293865 293873 293905 293919 293923 293927 293995
## 3 3 3 3 3 2 3 3 1 3
## 294012 294014 294063 294079 294107 294144 294187 294227 294228 294248
## 2 3 3 3 3 3 3 2 3 2
## 294295 294382 294391 294415 294434 294452 294454 294465 294533 294538
## 2 3 3 2 3 3 2 3 3 2
## 294570 294580 294592 294621 294648 294677 294684 294709 294725 294793
## 2 3 3 2 3 3 3 2 3 2
## 294798 294848 294874 294905 294930 294939 295005 295025 295051 295064
## 3 2 3 2 3 3 2 2 3 3
## 295089 295124 295137 295151 295158 295168 295177 295274 295337 295345
## 3 2 3 3 3 3 2 3 3 3
## 295357 295388 295440 295515 295546 295573 295615 295654 295656 295662
## 3 3 3 3 3 3 3 3 3 3
## 295665 295698 295702 295757 295860 295862 295922 295926 295933 295949
## 3 2 3 3 3 3 2 2 3 3
## 295957 295972 296012 296025 296077 296104 296118 296140 296152 296156
## 3 2 3 3 3 3 3 3 3 2
## 296158 296175 296192 296204 296217 296229 296241 296270 296274 296276
## 2 2 2 3 3 3 3 1 2 3
## 296290 296297 296322 296379 296381 296400 296498 296502 296531 296570
## 3 3 3 3 2 3 1 2 3 2
## 296583 296584 296589 296593 296702 296703 296705 296721 296729 296730
## 2 3 2 3 3 3 2 1 3 3
## 296775 296781 296833 296871 296872 296879 296900 296958 296977 296980
## 3 3 3 3 3 2 3 3 2 1
## 297015 297023 297043 297058 297064 297108 297123 297184 297211 297276
## 2 2 3 3 2 1 2 3 1 3
## 297353 297395 297419 297420 297429 297431 297480 297484 297505 297523
## 3 3 3 2 3 3 2 3 2 3
## 297546 297561 297576 297577 297607 297614 297621 297635 297658 297678
## 3 3 3 2 1 3 2 2 3 2
## 297720 297734 297752 297820 297879 297881 297945 297956 297995 298016
## 2 3 3 3 2 2 3 3 3 3
## 298024 298042 298083 298089 298098 298107 298176 298218 298224 298226
## 2 3 3 3 3 3 3 3 3 3
## 298233 298257 298285 298295 298302 298327 298340 298367 298376 298397
## 2 3 2 3 2 3 3 3 3 3
## 298405 298456 298472 298481 298500 298502 298579 298635 298640 298652
## 3 3 3 2 2 3 2 3 3 3
## 298675 298734 298750 298759 298770 298773 298783 298817 298834 298845
## 2 3 3 3 3 3 3 2 3 3
## 298870 298894 298995 299015 299058 299097 299100 299118 299137 299194
## 3 2 3 3 2 3 3 3 3 3
## 299200 299203 299226 299227 299229 299246 299257 299264 299297 299302
## 2 2 3 3 3 3 2 2 3 3
## 299336 299347 299350 299412 299417 299427 299435 299453 299474 299477
## 1 1 3 3 3 3 3 3 2 3
## 299548 299599 299601 299614 299628 299647 299674 299700 299704 299706
## 3 2 3 3 3 2 3 3 3 2
## 299721 299773 299793 299801 299804 299841 299862 299876 299891 299902
## 3 1 2 1 1 3 3 3 3 2
## 299903 299975 300031 300038 300067 300078 300125 300174 300180 300189
## 1 3 3 3 2 3 1 3 3 2
## 300229 300273 300285 300292 300306 300364 300407 300519 300573 300599
## 3 3 3 3 3 1 3 3 3 3
## 300729 300737 300743 300754 300761 300781 300789 300818 300841 300851
## 3 3 3 2 2 1 3 3 3 3
## 300865 300963 300972 300993 300997 300998 301014 301025 301046 301089
## 3 3 2 2 3 3 3 2 3 3
## 301152 301160 301176 301236 301237 301306 301351 301370 301372 301403
## 3 1 1 3 2 3 2 3 3 2
## 301404 301493 301514 301558 301559 301587 301604 301648 301704 301734
## 1 3 2 2 3 3 2 3 3 3
## 301780 301842 301874 301915 301951 301958 302009 302041 302053 302090
## 3 2 3 3 2 1 3 2 1 2
## 302092 302157 302187 302190 302227 302251 302307 302333 302383 302394
## 2 2 2 3 3 2 3 3 3 2
## 302418 302450 302531 302532 302540 302565 302576 302618 302621 302627
## 2 3 2 3 2 3 3 1 2 3
## 302670 302686 302709 302716 302742 302749 302779 302790 302832 302836
## 3 2 3 1 3 2 1 3 3 2
## 302849 302874 302888 302914 302929 302948 302975 302999 303008 303070
## 2 3 3 3 3 2 2 3 3 3
## 303073 303075 303096 303114 303123 303168 303317 303322 303330 303354
## 3 3 3 3 3 3 3 2 2 3
## 303375 303385 303431 303465 303503 303512 303514 303526 303541 303551
## 2 3 3 3 2 3 3 3 2 2
## 303562 303637 303651 303682 303734 303778 303801 303802 303826 303843
## 2 2 3 2 3 3 3 2 3 3
## 303865 304006 304030 304046 304096 304102 304104 304149 304169 304206
## 3 3 3 3 2 3 2 2 3 2
## 304217 304244 304259 304269 304284 304302 304333 304363 304373 304378
## 3 2 2 1 3 2 1 2 1 3
## 304430 304435 304467 304490 304492 304514 304516 304556 304571 304640
## 3 3 3 3 2 3 3 3 3 2
## 304689 304744 304825 304836 304845 304866 304874 304884 304897 304940
## 3 3 3 3 3 3 1 1 1 3
## 304950 305107 305129 305137 305183 305188 305198 305199 305298 305308
## 3 3 2 2 3 3 3 3 3 3
## 305345 305354 305526 305533 305544 305570 305595 305599 305607 305641
## 2 3 2 3 2 2 1 3 1 3
## 305645 305648 305659 305676 305680 305736 305747 305757 305953 306014
## 3 3 3 3 2 2 3 3 2 3
## 306021 306029 306104 306106 306169 306180 306212 306228 306234 306235
## 3 3 3 3 2 1 2 2 3 1
## 306259 306284 306287 306302 306453 306461 306515 306533 306564 306571
## 2 1 2 2 3 1 3 1 3 2
## 306582 306603 306618 306680 306682 306684 306700 306724 306758 306760
## 3 2 2 1 2 3 3 3 3 3
## 306772 306804 306815 306883 306895 306909 306912 306957 306958 306959
## 1 3 3 3 2 2 3 2 3 3
## 306968 306970 307008 307040 307041 307096 307150 307173 307175 307200
## 3 3 3 2 3 3 2 3 3 2
## 307207 307216 307243 307260 307320 307359 307360 307364 307408 307457
## 3 2 3 3 3 3 2 3 3 3
## 307483
## 3
##
## Within cluster sum of squares by cluster:
## [1] 125563.7 172355.4 252780.9
## (between_SS / total_SS = 25.4 %)
##
## Available components:
##
## [1] "cluster" "centers" "totss" "withinss"
## [5] "tot.withinss" "betweenss" "size" "iter"
## [9] "ifault"#kc$cluster
kc$centers## AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE
## 1 0.2267380 0.08572607 0.14108238 0.09131673
## 2 0.1758228 0.10110748 0.13099347 0.10735611
## 3 -0.1198964 -0.06366978 -0.08603647 -0.06763927
## REGION_POPULATION_RELATIVE DAYS_REGISTRATION OWN_CAR_AGE CNT_FAM_MEMBERS
## 1 0.3915262 0.11580663 -0.09375193 -0.026289230
## 2 0.2246710 0.04661831 -0.09323809 0.008956484
## 3 -0.1652347 -0.03836989 0.06045096 -0.001636496
## EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG BASEMENTAREA_AVG
## 1 0.08923342 0.11163438 0.002264545 2.553308 2.0446757
## 2 0.11788973 0.14735153 0.020486647 0.356592 0.1616243
## 3 -0.07297108 -0.09121916 -0.011116073 -0.490527 -0.3271841
## YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG COMMONAREA_AVG ELEVATORS_AVG
## 1 0.4458067 0.6721943 1.7976440 2.3948596
## 2 0.4053809 0.6077389 0.1846039 0.5471332
## 3 -0.2673416 -0.4012481 -0.3101636 -0.5727040
## ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG LANDAREA_AVG
## 1 1.8610073 1.2129250 0.9019371 1.3643549
## 2 -0.1595338 0.8893306 0.7757304 0.1220642
## 3 -0.1354160 -0.6142545 -0.5173525 -0.2258492
## LIVINGAPARTMENTS_AVG LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG
## 1 2.4489768 2.6159830 0.82128313
## 2 0.3485531 0.3673282 -0.01038612
## 3 -0.4739423 -0.5036178 -0.09154244
## NONLIVINGAREA_AVG APARTMENTS_MODE BASEMENTAREA_MODE
## 1 1.07995734 2.5459637 2.0361943
## 2 0.06633189 0.3174295 0.1255959
## 3 -0.16273247 -0.4689211 -0.3071035
## YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE COMMONAREA_MODE
## 1 0.2525306 0.6831878 1.8274445
## 2 0.2225043 0.5993824 0.1538592
## 3 -0.1476637 -0.3981219 -0.2974043
## ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE FLOORSMIN_MODE
## 1 2.4143962 1.8220024 1.2252996 0.9053841
## 2 0.5202206 -0.1881523 0.8836999 0.7648604
## 3 -0.5607611 -0.1156525 -0.6127350 -0.5120037
## LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE
## 1 1.3671127 2.4860685 2.6034732
## 2 0.1052564 0.3202469 0.3285044
## 3 -0.2172747 -0.4633358 -0.4815809
## NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI
## 1 0.83045881 1.08266055 2.5652947
## 2 -0.02870876 0.03357147 0.3503622
## 3 -0.08292407 -0.14570393 -0.4886444
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI
## 1 2.0684717 0.4884344 0.6698408
## 2 0.1509441 0.4467968 0.6087516
## 3 -0.3243402 -0.2943098 -0.4015062
## COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI
## 1 1.8007540 2.4046566 1.8577921 1.2052541
## 2 0.1837949 0.5434816 -0.1659571 0.8898875
## 3 -0.3101027 -0.5719279 -0.1316347 -0.6136430
## FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI
## 1 0.9003434 1.3724322 2.4692629 2.6209104
## 2 0.7761607 0.1216329 0.3455631 0.3630760
## 3 -0.5173920 -0.2265752 -0.4747560 -0.5019484
## NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI TOTALAREA_MODE
## 1 0.83109291 1.10202951 2.4740119
## 2 -0.01739217 0.05368849 0.3953769
## 3 -0.08899158 -0.15864532 -0.5016956
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## 1 -0.07588391 0.01224097
## 2 -0.04120549 -0.04052779
## 3 0.03078634 0.02001469
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE
## 1 -0.07679317 -0.02584597 0.009543320
## 2 -0.04044406 -0.04191656 -0.016047929
## 3 0.03049057 0.02525043 0.007370385
## AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY
## 1 0.008175929 0.026812066
## 2 0.011860281 -0.019198200
## 3 -0.007246554 0.006998115
## AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON
## 1 0.006007569 0.04614934
## 2 0.004831463 0.05420673
## 3 -0.003268303 -0.03415760
## AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
## 1 -0.055681016 -0.07812538
## 2 0.011104691 -0.02806470
## 3 0.000698858 0.02409262#Determine which Id belongs to which cluster and add this data
# to the df2.scale in form of cluster number:1, 2, or 3 per each id
out <- cbind(df2.scale, Credit.Cluster.Num = kc$cluster)
head(out,1)## AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE
## 72 -0.8700095 -0.2873525 -0.4374945 -0.4111082
## REGION_POPULATION_RELATIVE DAYS_REGISTRATION OWN_CAR_AGE
## 72 -0.8507864 1.268285 0.8815376
## CNT_FAM_MEMBERS EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG
## 72 -0.4050549 -1.147114 0.8900905 0.5233393 0.1319042
## BASEMENTAREA_AVG YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG
## 72 0.4477418 0.2706254 0.3967334
## COMMONAREA_AVG ELEVATORS_AVG ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG
## 72 0.7364272 -0.3533639 -1.236139 0.5287161 0.7784598
## LANDAREA_AVG LIVINGAPARTMENTS_AVG LIVINGAREA_AVG
## 72 -0.8090958 0.134658 -0.2548467
## NONLIVINGAPARTMENTS_AVG NONLIVINGAREA_AVG APARTMENTS_MODE
## 72 -0.1922515 -0.4105099 0.19505
## BASEMENTAREA_MODE YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE
## 72 0.5252475 0.1651291 0.4170882
## COMMONAREA_MODE ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE
## 72 0.7940363 -0.3165147 -1.157136 0.5663859
## FLOORSMIN_MODE LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE
## 72 0.804573 -0.7812361 0.1880147 -0.1950787
## NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI
## 72 -0.1777175 -0.3818462 0.14111
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI
## 72 0.4632974 0.2925365 0.3942624
## COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI
## 72 0.7416127 -0.3455612 -1.222619 0.5280778
## FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI
## 72 0.7772532 -0.8094353 0.1414242 -0.2483349
## NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI TOTALAREA_MODE
## 72 -0.188374 -0.402668 0.093403
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## 72 0.2976207 2.125394
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE
## 72 0.3068303 2.768866
## DAYS_LAST_PHONE_CHANGE AMT_REQ_CREDIT_BUREAU_HOUR
## 72 -1.092545 -0.08103103
## AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK
## 72 -0.07107127 -0.1890122
## AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT
## 72 -0.3465318 -0.4344682
## AMT_REQ_CREDIT_BUREAU_YEAR SK_ID_CURR TARGET Credit.Cluster.Num
## 72 0.6965438 100083 0 2plot(out[,c("AMT_CREDIT","Credit.Cluster.Num")])
plot(out[,"Credit.Cluster.Num"], (out[, "AMT_INCOME_TOTAL"]))
#there are 0 unavailable values for credit clusters since we removed the NA info at the begining
sum(is.na(out$Credit.Cluster.Num))## [1] 0#there are 0 duplicate credit records
sum(duplicated(out$SK_ID_CURR))## [1] 0#adding the credit cluster data to the training data too:
loan.data.all.wClusterCredit <- cbind(loan.data.all, Credit.Cluster.Num = NA) #create column
for (row in 1:nrow(out)) {
SK_ID <- out[row, "SK_ID_CURR"]
SK_ID
#update column
loan.data.all.wClusterCredit[loan.data.all.wClusterCredit$SK_ID_CURR==SK_ID, "Credit.Cluster.Num"] <- out[out$SK_ID_CURR==SK_ID, "Credit.Cluster.Num"]
}
head(loan.data.all.wClusterCredit)## SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR
## 1 100002 1 Cash loans M N
## 2 100003 0 Cash loans F N
## 3 100004 0 Revolving loans M Y
## 4 100006 0 Cash loans F N
## 5 100007 0 Cash loans M N
## 6 100008 0 Cash loans M N
## FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY
## 1 Y 0 202500 406597.5 24700.5
## 2 N 0 270000 1293502.5 35698.5
## 3 Y 0 67500 135000.0 6750.0
## 4 Y 0 135000 312682.5 29686.5
## 5 Y 0 121500 513000.0 21865.5
## 6 Y 0 99000 490495.5 27517.5
## AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE
## 1 351000 Unaccompanied Working
## 2 1129500 Family State servant
## 3 135000 Unaccompanied Working
## 4 297000 Unaccompanied Working
## 5 513000 Unaccompanied Working
## 6 454500 Spouse, partner State servant
## NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE
## 1 Secondary / secondary special Single / not married House / apartment
## 2 Higher education Married House / apartment
## 3 Secondary / secondary special Single / not married House / apartment
## 4 Secondary / secondary special Civil marriage House / apartment
## 5 Secondary / secondary special Single / not married House / apartment
## 6 Secondary / secondary special Married House / apartment
## REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION
## 1 0.018801 -9461 -637 -3648
## 2 0.003541 -16765 -1188 -1186
## 3 0.010032 -19046 -225 -4260
## 4 0.008019 -19005 -3039 -9833
## 5 0.028663 -19932 -3038 -4311
## 6 0.035792 -16941 -1588 -4970
## DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE
## 1 -2120 NA 1 1 0
## 2 -291 NA 1 1 0
## 3 -2531 26 1 1 1
## 4 -2437 NA 1 1 0
## 5 -3458 NA 1 1 0
## 6 -477 NA 1 1 1
## FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS
## 1 1 1 0 Laborers 1
## 2 1 1 0 Core staff 2
## 3 1 1 0 Laborers 1
## 4 1 0 0 Laborers 2
## 5 1 0 0 Core staff 1
## 6 1 1 0 Laborers 2
## REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY
## 1 2 2
## 2 1 1
## 3 2 2
## 4 2 2
## 5 2 2
## 6 2 2
## WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START
## 1 WEDNESDAY 10
## 2 MONDAY 11
## 3 MONDAY 9
## 4 WEDNESDAY 17
## 5 THURSDAY 11
## 6 WEDNESDAY 16
## REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE
## 1 0 0 Business Entity Type 3
## 2 0 0 School
## 3 0 0 Government
## 4 0 0 Business Entity Type 3
## 5 1 1 Religion
## 6 0 0 Other
## EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG BASEMENTAREA_AVG
## 1 0.08303697 0.2629486 0.1393758 0.0247 0.0369
## 2 0.31126731 0.6222458 NA 0.0959 0.0529
## 3 NA 0.5559121 0.7295667 NA NA
## 4 NA 0.6504417 NA NA NA
## 5 NA 0.3227383 NA NA NA
## 6 NA 0.3542247 0.6212263 NA NA
## YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG COMMONAREA_AVG ELEVATORS_AVG
## 1 0.9722 0.6192 0.0143 0.00
## 2 0.9851 0.7960 0.0605 0.08
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG LANDAREA_AVG
## 1 0.0690 0.0833 0.1250 0.0369
## 2 0.0345 0.2917 0.3333 0.0130
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## LIVINGAPARTMENTS_AVG LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG
## 1 0.0202 0.0190 0.0000
## 2 0.0773 0.0549 0.0039
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## NONLIVINGAREA_AVG APARTMENTS_MODE BASEMENTAREA_MODE
## 1 0.0000 0.0252 0.0383
## 2 0.0098 0.0924 0.0538
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE COMMONAREA_MODE
## 1 0.9722 0.6341 0.0144
## 2 0.9851 0.8040 0.0497
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE FLOORSMIN_MODE
## 1 0.0000 0.0690 0.0833 0.1250
## 2 0.0806 0.0345 0.2917 0.3333
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE
## 1 0.0377 0.022 0.0198
## 2 0.0128 0.079 0.0554
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI
## 1 0 0 0.0250
## 2 0 0 0.0968
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI
## 1 0.0369 0.9722 0.6243
## 2 0.0529 0.9851 0.7987
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI
## 1 0.0144 0.00 0.0690 0.0833
## 2 0.0608 0.08 0.0345 0.2917
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI
## 1 0.1250 0.0375 0.0205 0.0193
## 2 0.3333 0.0132 0.0787 0.0558
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI FONDKAPREMONT_MODE
## 1 0.0000 0.00 reg oper account
## 2 0.0039 0.01 reg oper account
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## HOUSETYPE_MODE TOTALAREA_MODE WALLSMATERIAL_MODE EMERGENCYSTATE_MODE
## 1 block of flats 0.0149 Stone, brick No
## 2 block of flats 0.0714 Block No
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE
## 1 2 2
## 2 1 0
## 3 0 0
## 4 2 0
## 5 0 0
## 6 0 0
## OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE
## 1 2 2 -1134
## 2 1 0 -828
## 3 0 0 -815
## 4 2 0 -617
## 5 0 0 -1106
## 6 0 0 -2536
## FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5
## 1 0 1 0 0
## 2 0 1 0 0
## 3 0 0 0 0
## 4 0 1 0 0
## 5 0 0 0 0
## 6 0 1 0 0
## FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9
## 1 0 0 0 0
## 2 0 0 0 0
## 3 0 0 0 0
## 4 0 0 0 0
## 5 0 0 1 0
## 6 0 0 0 0
## FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13
## 1 0 0 0 0
## 2 0 0 0 0
## 3 0 0 0 0
## 4 0 0 0 0
## 5 0 0 0 0
## 6 0 0 0 0
## FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17
## 1 0 0 0 0
## 2 0 0 0 0
## 3 0 0 0 0
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## 5 0 0 0 0
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## 1 0 0 0 0
## 2 0 0 0 0
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## AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY
## 1 0 0
## 2 0 0
## 3 0 0
## 4 NA NA
## 5 0 0
## 6 0 0
## AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON
## 1 0 0
## 2 0 0
## 3 0 0
## 4 NA NA
## 5 0 0
## 6 0 0
## AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR Credit.Cluster.Num
## 1 0 1 NA
## 2 0 0 NA
## 3 0 0 NA
## 4 NA NA NA
## 5 0 0 NA
## 6 1 1 NA#loan.data.all.wClusterCredit["SK_ID_CURR"==100083, "Credit.Cluster.Num"] <- out["SK_ID_CURR"==100083, "Credit.Cluster.Num"]Modeling Plan
As part of the modeling plan we took the following steps:
- Ran Univariate and Bivariate Statistics (Check the distributions of the variables we intend to use, as well as bivariate relationships among all variables that might go into the model)
- Dropped nonsignificant control variables
- Checked for and resolve data issues
- Checked for Multicollinearity
- Outliers and influential points
- Dealt with Missing data
- Created new flag variables for categorical variables
- We will use PCA to uncover correlations and further make decisions to include the variables in the model based on the results
- Further, we will standardize the values to avoid an increased influence from some of the variables will larger range
- We anticipate that some of our models will be greatly influence by the distribution of input variables so we will detect skew values and transform the data accordingly
- In order to identify which explanatory variables we think would be good indicators or predictors of the potential risk of a loan: likelihood of default (higher risk) versus paid in full (lower risk), we can calculate the percent of the total number of loans that are classified as defaults.
- The predictor target is given as credit risk and thus we will use a supervised approach
- Further we will use cross-validation with k=5 to prepare the data for training and testing the models
- We will employ at least two fundamentally different approaches:
- A pipeline with logistic regression and random forest, and
- A black box approach: RNN with logistic regression
- To create models we can use, logistic regression as the response variable (Target) follows a binomial distribution. The reasons why Logistic regression is better suited to credit risk analysis are:
- The independent variable (NAME_CONTRACT_TYPE, AMT_INCOME, etc.) are categorical in nature. Categories make better predictors in this analysis than actual value.
- The end result has to be in probability or percentage (like customer A is x% likely to default on the given credit), which is not possible with linear regression model since its values vary between -infinity and +infinity.
- The independent variable (NAME_CONTRACT_TYPE, AMT_INCOME, etc.) are categorical in nature. Categories make better predictors in this analysis than actual value.
- For model selection, we can select the model with the least residual error. We can use different cut offs to decide if a loan should be granted or not.
- RNN: we will construct a neural network with an input layer of dimension N = number of input variables and 1 hidden layer and a single output neuron corresponding to the output classifier variable for 2 outcomes: Yes=1 credit risk and No=0 credit risk.
- We will monitor the ROC for the performance of our models
- We will compare the accuracy of classification between the RNN approach and random forest approach and determine the advantages and disadvantages for using either one or the other
- We will also construct a decision tree based on the given inputs that can streamline the decision process of approving/ declining credit to a particular customer.